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DTSTART;TZID=America/New_York:20260219T140000
DTEND;TZID=America/New_York:20260219T150000
DTSTAMP:20260410T145453
CREATED:20260109T173559Z
LAST-MODIFIED:20260109T180745Z
UID:10000472-1771509600-1771513200@www.med.unc.edu
SUMMARY:Seminar with Nicholas Klemen\, MD (Duke University School of Medicine)
DESCRIPTION:In person only | Hosted by Alex Rubinsteyn\, PhD \nAbout the Speaker:  \nNicholas Klemen\, M.D.\, is a surgical oncologist who specializes in the treatment of gastrointestinal tumors\, particularly those of the colon\, pancreas\, and liver. His work focused on advancing immunotherapy for patients with difficult-to-treat gastrointestinal cancers\, which typically do not respond to FDA-approved immunotherapy regimens. \n 
URL:https://www.med.unc.edu/compmed/event/seminar-with-nicholas-klemen-md-duke-university-school-of-medicine/
LOCATION:Bioinformatics Building\, Room 1131\, 130 Mason Farm Rd\, Chapel Hill\, NC\, 27514\, United States
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2026/01/NDK-headshot.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260115T140000
DTEND;TZID=America/New_York:20260115T150000
DTSTAMP:20260410T145453
CREATED:20251119T161027Z
LAST-MODIFIED:20251119T162236Z
UID:10000465-1768485600-1768489200@www.med.unc.edu
SUMMARY:Seminar with Jingyi Jessica Li\, PhD
DESCRIPTION:In-person only | Hosted by Tarek Zikry\, PhD \nAbout the speaker:  \nJingyi Jessica Li is a statistician and computational biologist whose work bridges data science and biomedical research. She develops reliable and interpretable methods to analyze complex biological data\, with a focus on understanding how genes function and are regulated in health and disease. Her research has helped uncover hidden patterns in gene expression and emphasized the importance of statistical rigor—ensuring that scientific discoveries are trustworthy\, even when working with noisy or low-quality data. She strongly believes that statistics is not just a supporting tool but a core driver of progress in biology and medicine. \nDr. Li is Professor and Program Head of Biostatistics at Fred Hutchinson Cancer Center\, where she holds the Donald and Janet K. Guthrie Endowed Chair in Statistics\, and Affiliate Professor of Biostatistics at the University of Washington. Previously\, she was Professor of Statistics and Data Science at UCLA\, with joint appointments in Biostatistics\, Computational Medicine\, and Human Genetics. She earned her Ph.D. in Biostatistics from the University of California\, Berkeley\, and her B.S. in Biological Sciences from Tsinghua University. Her contributions have been recognized with the NSF CAREER Award\, Sloan Research Fellowship\, ISCB Overton Prize\, COPSS Emerging Leaders Award\, Guggenheim Fellowship\, and the Mortimer Spiegelman Award. \n 
URL:https://www.med.unc.edu/compmed/event/seminar-with-jingyi-jessica-li-phd/
LOCATION:Bioinformatics Building\, Room 1131\, 130 Mason Farm Rd\, Chapel Hill\, NC\, 27514\, United States
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2025/11/Picture1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251218T140000
DTEND;TZID=America/New_York:20251218T150000
DTSTAMP:20260410T145453
CREATED:20251118T152742Z
LAST-MODIFIED:20251118T152742Z
UID:10000464-1766066400-1766070000@www.med.unc.edu
SUMMARY:Seminar with Nick Buchler\, PhD
DESCRIPTION:In person only \n  \nHOSTED BY PALMER LAB \n \n  \nAbout the speaker: \nDr. Nicolas Buchler joined NC State in July 2018 as a Chancellor’s Faculty Excellence Program cluster hire in Modeling the Living Embryo.  He is biophysicist and geneticist by training with expertise in biological oscillations (e.g.\, cell cycle\, metabolic rhythms)\, fungal genomics and evolution\, single-cell gene expression\, and mathematical modeling of gene regulatory dynamics. His research is focused on understanding how the cell cycle interacts with metabolic rhythms\, and how changes in these interactions lead to disease or new functions. The lab primarily works with early-diverging Fungi and yeasts\, but they collaborate with others to study these same questions in other regulatory systems (e.g. circadian clocks) and organisms (e.g. animals and plants). \nDr. Buchler received a B.S. in Physics from the University of California at San Diego\, before working on protein structure and evolution while obtaining a Ph.D. in Biophysics at the University of Michigan at Ann Arbor. During his post-doc\, first at the University of California at San Diego and then at the Center for Studies in Physics & Biology at Rockefeller University\, he combined mathematical modeling and experiments to understand how networks of genes sense and respond to multiple signals\, store memories of past events\, and schedule periodic events (e.g. cell cycle).
URL:https://www.med.unc.edu/compmed/event/seminar-with-nick-buchler-phd/
LOCATION:Bioinformatics Building\, Room 1131\, 130 Mason Farm Rd\, Chapel Hill\, NC\, 27514\, United States
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2025/11/bucher.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251120T140000
DTEND;TZID=America/New_York:20251120T150000
DTSTAMP:20260410T145453
CREATED:20250912T153905Z
LAST-MODIFIED:20250912T153905Z
UID:10000463-1763647200-1763650800@www.med.unc.edu
SUMMARY:Seminar with Ehsan Semai\, PhD
DESCRIPTION:In-person only | Hosted by Purvis Lab \n  \nAbout the Speaker: \nEhsan Samei is the Rice Distinguished Professor at Duke University\, holding five departmental affiliations. He directs the NIH-sponsored Center for Virtual Imaging Trials (CVIT) and co-directs the FDA-sponsored Triangle Center of Excellence in Regulatory Science and Innovation (Triangle-CERSI). His expertise encompasses clinical physics\, quantitative imaging\, and the care-relevant use of AI. His passion is to position medical physics and in silico methods to generate and accelerate patient-centric care through innovative design and compassionate practice.  Authored over 400 refereed papers and four books\, he is a fellow of five professional societies\, the recipient of the 2022 Marie Sklodowska-Curie Award by the International Organization of Medical Physics\, and ranked 11th among over 56\,000 medical physicists worldwide for his lifetime contribution to medical physics.
URL:https://www.med.unc.edu/compmed/event/seminar-with-ehsan-semai-phd/
LOCATION:Bioinformatics Building\, Room 1131\, 130 Mason Farm Rd\, Chapel Hill\, NC\, 27514\, United States
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2025/09/Ehsan-Samei-HERO-mid.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251016T140000
DTEND;TZID=America/New_York:20251016T150000
DTSTAMP:20260410T145453
CREATED:20250605T142108Z
LAST-MODIFIED:20250922T190900Z
UID:10000452-1760623200-1760626800@www.med.unc.edu
SUMMARY:Seminar with Nagarajan Vaidehi\, PhD
DESCRIPTION:In-person only | Hosted by Miao Lab \n  \nAbout the Speaker \nNagarajan Vaidehi\, Ph.D.\, is professor and chair of the Department of Computational and Quantitative Medicine within Beckman Research Institute of City of Hope. Dr. Vaidehi also oversees the Computational Therapeutics Core.\n\nDr. Vaidehi received her Ph.D. in quantum chemistry from the Indian Institute of Technology in India\, where she was honored with the Distinguished Alumni Award in 2016. Following her postdoctoral studies on protein dynamics simulation methods with Nobel Laureate Arieh Warshel\, Ph.D.\, at University of Southern California\, and William A Goddard III\, Ph.D.\, at Caltech\, she became the director of biomolecular simulations at the Materials and Process Simulation Center\, Beckman Institute at Caltech.\n\n\nDr. Vaidehi joined City of Hope in 2006 as a professor and has since advanced the use of computational methods to meet the challenges of designing therapeutics. She is an internationally recognized biophysicist for her contributions in developing constrained molecular dynamics simulation methods with emphasis on application to G-protein coupled receptors and drug design.\n\n 
URL:https://www.med.unc.edu/compmed/event/seminar-with-vaidehi-narayan-phd/
LOCATION:Bioinformatics Building\, Room 1131\, 130 Mason Farm Rd\, Chapel Hill\, NC\, 27514\, United States
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/png:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2025/06/Picture1-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250918T140000
DTEND;TZID=America/New_York:20250918T150000
DTSTAMP:20260410T145453
CREATED:20250114T203048Z
LAST-MODIFIED:20250912T154033Z
UID:10000448-1758204000-1758207600@www.med.unc.edu
SUMMARY:Seminar with Adam MacLean\, PhD
DESCRIPTION:In-person only | Hosted by Tarek Zikry \n  \nTalk Title: Gene regulatory network dynamics and the fate of single cells \nAbstract: \nCells make decisions to enable multicellular life. Cell fate decision-making underlies development and homeostasis\, and goes awry as we age. Despite great promise\, we have yet to harness the high-resolution information on cell states and fates that single-cell genomics data offer to understand cell fate decisions in development and aging. Nor do we know how these fate decisions are controlled by gene regulatory networks. I will describe our recent work constructing models of cell fate decisions and their control by gene regulatory networks using single-cell genomics. In application to the human lifetime\, we have discovered how early-life events — mutational\, transcriptional\, and epigenetic — shape and change stem cell function as we age in a manner that could be harnessed to ameliorate diseases of aging. \n  \nAbout the speaker:  \nAdam MacLean develops theory to understand cell fate decision-making in stem cells and cancer. He has developed models of cell-cell communication\, and the gene regulatory networks that control cell fate decisions via single-cell multi-omics data analysis and statistical inference. He is an Assistant Professor in the Department of Quantitative and Computational Biology\, at the University of Southern California. He studied mathematical physics (BSc) at the University of Edinburgh and completed a PhD in systems biology from Imperial College London. He worked as a postdoc at the University of Oxford and the University of California Irvine\, before joining USC in 2019. Recent awards for his work include an NSF CAREER award (2022) and an NIH R35 MIRA award (2022). \n 
URL:https://www.med.unc.edu/compmed/event/seminar-with-adam-maclean-phd/
LOCATION:Bioinformatics Building\, Room 1131\, 130 Mason Farm Rd\, Chapel Hill\, NC\, 27514\, United States
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2025/01/macleana.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250515T140000
DTEND;TZID=America/New_York:20250515T150000
DTSTAMP:20260410T145453
CREATED:20250109T190135Z
LAST-MODIFIED:20250109T203657Z
UID:10000447-1747317600-1747321200@www.med.unc.edu
SUMMARY:Seminar with Olga Anczukȯw\, Ph.D.
DESCRIPTION:  \nIn-person only \n  \n \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \nAbout the speaker:  \nDr. Olga Anczuków\, PhD\, Associate Professor at The Jackson Laboratory for Genomic Medicine\, Farmington\, CT\, is an investigator with expertise in RNA and cancer biology. She is a Research Program Co-Leader at the NCI-designated Jackson Laboratory Cancer Center. She completed her PhD at University Claude Bernard Lyon 1 in France\, and her postdoctoral training at Cold Spring Harbor laboratory\, NY\, USA. \nThe goals of her research program (www.anczukowlab.com) are to understand how misregulation of alternative RNA splicing\, including alterations driven by aging\, contributes to cancer\, and to develop novel therapeutic strategies to target splicing regulators and their targets. \nHer laboratory uses patient-derived organoids\, mouse models\, and RNA-sequencing to identify splicing alterations that contribute to tumor initiation\, metastasis\, and drug resistance. She identified splicing factors and their targets that promote tumor initiation and/or invasion and metastasis in in vivo and in vitro models of breast cancer. Using short- and long-read RNA-sequencing\, her work further defined the splicing landscape of human primary tumors and discovered novel tumor-specific full-length isoforms associated with prognosis in breast cancer\, as well as other tumors types. In particular\, her work revealed a pan-cancer splicing signature of MYC activity and nominated novel targets for MYC-driven tumors. Finally\, her lab is leveraging RNA-based therapeutics to study the function of specific aging and cancer-associated isoforms as well as to design novel drugs for tumors with splicing alterations.  \nShe is the Principal Investigator on four major grants (NCI R01\, NIGMS R01\, NCI R21/R33\, and a Hevolution Foundation Advancing Geroscience Efforts Award) which support her unique program’s integrative research approach\, which connects the fields of RNA biology\, cancer research\, and aging to reveal novel avenues for mechanistic discovery and new personalized cancer therapies. She is a member of the RNA Society and the American Association for Cancer Research\, and member of the AACR Task Force on Aging and Cancer. She co-organized multiple international conferences\, including the FASEB RNA Processing in Cancer Conference: From Bench to Bedside (2023)\, the Forbeck Forum on Therapeutic Targeting of mRNA splicing in Cancer (2023)\, and the JAX Long read sequencing workshop (2024). She serves or has served on NIH study sections and peer review groups in the US and abroad\, in addition to reviewing manuscripts for a range of leading journals. She is also dynamically engaged in the research community\, in the training of the next generation of cancer researchers\, and in science outreach programs. \n  \n  \n  \n  \n 
URL:https://www.med.unc.edu/compmed/event/seminar-with-olga-anczuk%c8%afw-ph-d/
LOCATION:Bioinformatics Building\, Room 1131\, 130 Mason Farm Rd\, Chapel Hill\, NC\, 27514\, United States
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2025/01/Olga_Anczukow_portrait_headshot_rectangle.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250320T140000
DTEND;TZID=America/New_York:20250320T150000
DTSTAMP:20260410T145453
CREATED:20250312T112830Z
LAST-MODIFIED:20250312T112924Z
UID:10000450-1742479200-1742482800@www.med.unc.edu
SUMMARY:Seminar with Tianlong Chen\, PhD
DESCRIPTION:
URL:https://www.med.unc.edu/compmed/event/seminar-with-tianlong-chen-phd/
LOCATION:Bioinformatics Building\, Room 1131\, 130 Mason Farm Rd\, Chapel Hill\, NC\, 27514\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20241028T090000
DTEND;TZID=America/New_York:20241028T180000
DTSTAMP:20260410T145453
CREATED:20240916T194603Z
LAST-MODIFIED:20240916T194734Z
UID:10000418-1730106000-1730138400@www.med.unc.edu
SUMMARY:Free Workshop | the Gaussian Accelerated Molecular Dynamics (GaMD)
DESCRIPTION:Gaussian Accelerated Molecular Dynamics (GaMD) Workshop  \non Oct 28\, 2024\, at UNC-Chapel Hill \nWe are pleased to announce the Gaussian accelerated Molecular Dynamics (GaMD) workshop that will be held on Monday\, Oct 28\, 2024\, at the University of North Carolina (UNC)\, Chapel Hill. The workshop is supported by the UNC Department of Pharmacology and Computational Medicine Program. It is designed for all students and researchers in Computational Chemistry\, Biophysics\, and Biomedicine in the areas of Molecular Dynamics\, Enhanced Sampling\, and Drug Design. The covered topics will include the latest developments and advanced application studies of the GaMD methodology. \nThere is no registration fee for attending the workshop\, but participants are responsible for the travel and housing costs if attending in person. \nThe workshop will consist of several invited talks in the morning and “hands-on” tutorial sessions on different GaMD algorithms in the afternoon. Confirmed speakers include: \n\nProf. Surl-Hee (Shirley) Ahn\, University of California\, Davis\nProf. Ramon Alain Miranda Quintana\, University of Florida\nProf. Steffen Lindert\, Ohio State University\nProf. James Prestegard\, University of Georgia \nProf. Pengfei Li\, Loyola University Chicago \n\n“Hands-on” tutorial sessions will be given about step-by-step guided usage of the dual-boost GaMD\, Ligand GaMD (LiGaMD)\, Peptide GaMD (Pep-GaMD)\, and Protein-Protein Interaction – GaMD (PPI-GaMD)\, etc. \nDate: \nMonday\, October 28th\, 2024 \nTime: \nTalk/Study session: 9 am -12 pm at Bioinformatics 1131 \nWorkshop session: 1-6 pm at Mary Ellen Jones 3112 \n  \n \n  \n \n  \n  \n 
URL:https://www.med.unc.edu/compmed/event/free-workshop-the-gaussian-accelerated-molecular-dynamics-gamd/
LOCATION:Bioinformatics Building\, Room 1131\, 130 Mason Farm Rd\, Chapel Hill\, NC\, 27514\, United States
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20241017T140000
DTEND;TZID=America/New_York:20241017T150000
DTSTAMP:20260410T145453
CREATED:20240724T141247Z
LAST-MODIFIED:20240905T163125Z
UID:10000413-1729173600-1729177200@www.med.unc.edu
SUMMARY:Seminar with John Hickey\, PhD
DESCRIPTION:CompMed Seminar (In-person) \n  \nAbout the speaker: \nJohn is an Assistant Professor of Biomedical Engineering at Duke University with secondary appointments in the Cell Biology Biostatistics & Bioinformatics Departments of the School of Medicine. His lab is composed of a diverse set of engineers and scientists solving health problems by using and developing systems biology tools and technologies to describe and control spatial relationships between cells in tissues. \nJohn completed his postdoctoral training in Garry Nolan’s lab at Stanford University\, where he used and developed systems biology tools to analyze spatial relationships among cells in tissues. He obtained his PhD in Biomedical Engineering from Johns Hopkins University with Dr. Jonathan Schneck and Hai-Quan Mao\, where he developed magnetic nanoparticles for rare antigen-specific T cells and designed hydrogels for adoptive T cell therapy. John has been recognized by several organizations for his work including receiving: the American Cancer Society Postdoctoral Fellowship\, NCI Postdoctoral Fellowship\, ARCS Scholar\, Siebel Scholar\, and NSF Graduate Research Fellowship. \n  \n \n 
URL:https://www.med.unc.edu/compmed/event/seminar-7/
LOCATION:Bioinformatics Building\, Room 1131\, 130 Mason Farm Rd\, Chapel Hill\, NC\, 27514\, United States
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2024/07/1340244.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240919T140000
DTEND;TZID=America/New_York:20240919T150000
DTSTAMP:20260410T145453
CREATED:20240725T172815Z
LAST-MODIFIED:20240725T180012Z
UID:10000414-1726754400-1726758000@www.med.unc.edu
SUMMARY:Seminar with Melissa Kemp\, PhD
DESCRIPTION:CompMed Seminar (In-person) \n  \nAbout the speaker: \nMelissa L. Kemp received her B.S. in nuclear engineering\, minoring in biomedical engineering\, from the Massachusetts Institute of Technology (MIT) and her Ph.D. in Bioengineering from the University of Washington. Following postdoctoral work as a CSBi/Merck Fellow in Biological Engineering at MIT\, she joined the Wallace H. Coulter Department of Biomedical Engineering faculty at Georgia Institute of Technology and Emory University in 2006. \nAs a Carol Ann & David D. Flanagan Professor and Georgia Cancer Coalition Distinguished Scholar\, Dr. Kemp’s research program focuses on the development of computational systems biology methods to investigate two overarching themes in cancer\, immunology\, and regenerative medicine applications: i) the role of cellular redox metabolism in influencing information processing and cell fate decisions; and ii) modes of communication that drive self-organization in multicellular engineered living systems. \nDr. Kemp is currently the research director of a multi-institutional NSF Engineering Research Center in Cell Manufacturing Technologies and is the former co-chair of the NCI Cancer Systems Biology Consortium. Dr. Kemp’s career honors include Georgia Cancer Coalition Distinguished Scholar and NIH New Innovator. \n  \n  \n \n  \n 
URL:https://www.med.unc.edu/compmed/event/seminar-with-melissa-kemp-phd/
LOCATION:Bioinformatics Building\, Room 1131\, 130 Mason Farm Rd\, Chapel Hill\, NC\, 27514\, United States
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2024/07/portrait.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240403T130000
DTEND;TZID=America/New_York:20240403T180000
DTSTAMP:20260410T145453
CREATED:20240322T182254Z
LAST-MODIFIED:20240322T182254Z
UID:10000402-1712149200-1712167200@www.med.unc.edu
SUMMARY:BioTech Day
DESCRIPTION:Half Day Symposium\n\n\n\n\n\n\n\n\n\n\n\n\n  \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n1:30 – 1:55: Joel Parker\, LifeEdit Therapeutics: BCB at LifeEdit Therapeutics  \n1:55 – 2:20: Anupama Reddy\, Vindhya Data Science: Biomarker Development to Enhance Precision Medicine\, Translating ‘Omics Signatures to the Clinic  \n2:20 – 2:45: Victor Weigman\, Bioskryb Genomics: Understanding Molecular Impacts of Gene Therapies Through Multi-Omic Profiling of Individual Cells \nCoffee Break \n2:55 – 3:20: Marshall Thompson\, Rare Cancer Research Foundation: Direct Patient Participation in Oncology Research as a Catalyst for Innovation \n3:20 – 3:45: Sara Selitsky\, Tempus AI: Development of a Prognostic Signature Through Molecular Subtyping of a Rare Squamous Cancer \n3:45 – 4:10: Nicholas Dietrich\, Kriya Therapeutics: Next Generation Sequencing and Gene Therapy Product Development \n4:10 – 4:35: Mariano Alvarez\, Avalo: Interpretable Machine Learning for Discovery and Prediction Tasks in Commerical Breeding Programs  \nCoffee Break \n4:45 – 5:10: Mark Lovern\, InSilicoTrials: Introduction to Model-Informed Drug Development \n5:10 – 5:35: Umut Eser\, Weave: Challenges and Opportunities of Modernizing the Drug Development Process with AI \n5:35 – 6:00: Marcel Frenkel\, Ten63: Molecular Voxel Theory\, Exploring Vast Chemical and Conformational Space to Drug the Undruggable \n\n\n\n  \n\n\n\n\n\n\n\nRSVP HERE →
URL:https://www.med.unc.edu/compmed/event/biotech-day/
LOCATION:Bioinformatics Building\, Room 1131\, 130 Mason Farm Rd\, Chapel Hill\, NC\, 27514\, United States
ATTACH;FMTTYPE=image/png:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2024/03/UNC-Biotech-Day-Logo-Final_Badge.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240321T140000
DTEND;TZID=America/New_York:20240321T150000
DTSTAMP:20260410T145453
CREATED:20240228T192220Z
LAST-MODIFIED:20240228T192220Z
UID:10000401-1711029600-1711033200@www.med.unc.edu
SUMMARY:CompMed Seminar
DESCRIPTION:Presenter: Dr. Benjamin Izar\, MD\, PhD \nAssistant Professor\, Columbia University Irving Medical Center/New York Presbyterian \nTalk title: “From Sequence to Mechanisms and Therapies” \nDr. Benjamin Izar is the Vivian and Seymour Milstein Family assistant professor at Columbia University Vagelos College of Physicians and Surgeons\, Department of Medicine\, Division of Hematology and Oncology. His research program leverages large-scale single-cell genomics studies and functional screens to dissect and overcome mechanisms of cancer immune evasion. Recent work has investigated the intersection of cancer genomics\, metastatic progression\, and immunobiology in melanoma and non-small cell lung cancer. These studies informed novel drug targets to disrupt immunosuppressive cues and enable a new generation of cellular immunotherapies.
URL:https://www.med.unc.edu/compmed/event/compmed-seminar-11/
LOCATION:Bioinformatics Building\, Room 1131\, 130 Mason Farm Rd\, Chapel Hill\, NC\, 27514\, United States
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2024/02/Headshot_Benjamin-Izar.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240313T100000
DTEND;TZID=America/New_York:20240313T163000
DTSTAMP:20260410T145454
CREATED:20231121T203205Z
LAST-MODIFIED:20240212T212459Z
UID:10000385-1710324000-1710347400@www.med.unc.edu
SUMMARY:2nd Computational Medicine Symposium
DESCRIPTION:“From Single Cells to Microenvironments: Computational Medicine at Multiple Scales” \nItai Yanai\, Ph.D. New York University  “Cellular plasticity and developmental constraints in cancer” \nAlexander Anderson\, Ph.D.  Moffit Cancer Center   ” Evolutionary Therapy” \nAmanda Randles\, Ph.D. Duke University  “Developing circulatory digital twins for improved healthcare” \nJeff Hasty\,  Ph.D.  The University of California San Diego  “Engineered bacteria for cancer therapeutics and diagnostics” \nStacey Finley\, Ph.D.  The University of Southern California  “Tumor-immune ecosystem: quantitative insights from modeling across scales”
URL:https://www.med.unc.edu/compmed/event/2nd-computational-medicine-symposium/
LOCATION:Bioinformatics Building\, Room 1131\, 130 Mason Farm Rd\, Chapel Hill\, NC\, 27514\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240215T140000
DTEND;TZID=America/New_York:20240215T150000
DTSTAMP:20260410T145454
CREATED:20240123T170100Z
LAST-MODIFIED:20240129T205339Z
UID:10000393-1708005600-1708009200@www.med.unc.edu
SUMMARY:Seminar
DESCRIPTION:Presenter: Michael K. Gilson\, Ph.D.\nDistinguished Professor\nSkaggs School of Pharmacy and Pharmaceutical Sciences\,\nUniversity of California San Diego\, LaJolla\, CA \nHosted by: Yinglong Miao\, Ph.D.\nTalk Title: “Mining Minimal Affinity Calculations and the BindingDB Database\, Tools for Drug Discovery” \nAbout the speaker: \n\nGrew up in New York City.\nA.B. Bioengineering at Harvard College\, 1981\nMD-PHD program at Columbia College of Physicians and Surgeons in New York City\, 1981-1989. PhD in Biochemistry and Molecular Biophysics.\nPart 1 (inpatient) of internal medicine residency (Clinical Investigator Pathway) at Stanford University Hospital\, Palo Alto\, CA\, 1989-1991\nPart 2 (outpatient and research) of Internal medicine residence at Baylor College of Medicine\, Houston\, TX 1991-1993.\nPostdoctoral fellowship as Howard Hughes Physician Medical Fellow at the University of Houston\, with Prof. J Andrew McCammon\, 1991-1994\nCARB Fellow and Assistant Professor to Professor\, Center for Advanced Research in Biotechnology (CARB)\, Rockville\, MD\, 1994-2010.\nProfessor\, Skaggs School of Pharmacy and Pharmaceutical Sciences\, UC San Diego\, La Jolla\, 2010-present.\n\n“My lab has focused on the development of the physical chemistry theory of non-covalent binding and methods and software for computer-aided drug design. We also originated and continue to run BindingDB\, a large database of measured protein-small molecule binding data used by researchers worldwide. Recently\, we have worked to improve the potential functions used in molecular simulations\, have done theoretical work on the mechanisms of molecular motors\, and have worked on the use of artificial intelligence in drug discovery”
URL:https://www.med.unc.edu/compmed/event/seminar-2/
LOCATION:Bioinformatics Building\, Room 1131\, 130 Mason Farm Rd\, Chapel Hill\, NC\, 27514\, United States
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2024/01/Michael-Gilson.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240118T140000
DTEND;TZID=America/New_York:20240118T150000
DTSTAMP:20260410T145454
CREATED:20231215T182034Z
LAST-MODIFIED:20231215T182140Z
UID:10000392-1705586400-1705590000@www.med.unc.edu
SUMMARY:Seminar
DESCRIPTION:Presenter: Hui Shen\, Ph.D. \nProfessor\, Van Andel Institute \nHosted by Katherine Hoadley\, Ph.D. \nTitle: Ovarian cancer ‘epigenetics’ through the lens of novel single cell technologies
URL:https://www.med.unc.edu/compmed/event/seminar/
LOCATION:Bioinformatics Building\, Room 1131\, 130 Mason Farm Rd\, Chapel Hill\, NC\, 27514\, United States
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2023/12/Hui-Shen.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230228T140000
DTEND;TZID=America/New_York:20230228T150000
DTSTAMP:20260410T145454
CREATED:20220921T203402Z
LAST-MODIFIED:20230110T163159Z
UID:10000337-1677592800-1677596400@www.med.unc.edu
SUMMARY:CompMed Seminar
DESCRIPTION:Presenter: Trachette Jackson\, PhD \nUniversity of Michigan \nDate February 28\, 2023 \nTalk Title “Multiscale Models for Understanding Tumor-Immune Dynamics and Optimizing Immune and Targeted Therapy Schedules” \nTrachette Jackson is a professor in the Department of Mathematics in the College of Literature\, Science\, and the Arts and Assistant Vice President for Research – DEI Initiatives at the University of Michigan. Motivated by addressing critical challenges associated with cancer therapeutics\, developing multiscale mathematical models is the aim of much of Dr. Jackson’s research.  She designs these models to optimize the use of anticancer agents that specifically target active molecular pathways that cancer cells use to promote their growth and survival.  Jackson is an award-winning educator and scholar who has received honors for her accomplishments in both areas.  In 2003\, she became the second African American woman to receive the prestigious Alfred P. Sloan Research Award in Mathematics; in 2005\, she received the James S. McDonnell 21st Century Scientist Award; in 2008 Diverse Magazine honored her as one of the year’s Emerging Scholars.  In 2010 she received the Blackwell-Tapia Prize\, which biannually recognizes a mathematician for both their research achievements and for their contributions to addressing diversity in mathematics and in 2012 she was elected to the inaugural class of Simon’s Foundation Fellows\, an honor featured in the NY Times.  More recently\, Dr. Jackson was voted into the inaugural class of Association for Women in Mathematics (AWM) Fellows and the 2021 class of the Society of Industrial and Applied Mathematics (SIAM) Fellows\, becoming the first African American to have this honor.
URL:https://www.med.unc.edu/compmed/event/compmed-seminar-9/
LOCATION:Bioinformatics Building\, Room 1131\, 130 Mason Farm Rd\, Chapel Hill\, NC\, 27514\, United States
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2022/09/Trachette-Jackson-1-scaled.jpg
ORGANIZER;CN="Victoria Doyle":MAILTO:vdoyle@email.unc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230214T160000
DTEND;TZID=America/New_York:20230214T170000
DTSTAMP:20260410T145454
CREATED:20230221T161332Z
LAST-MODIFIED:20230221T161332Z
UID:10000359-1676390400-1676394000@www.med.unc.edu
SUMMARY:Faculty Candidate Seminar
DESCRIPTION:Talk Title: Machine Learning the Rules od Antibody-Virus Interactions \nTal did his PhD at Caltech with Rob Phillips\, whose lab specializes in developing models that don’t just fit data\, but provide deep insights into the underlying mechanisms. In his postdoc\, Tal shifted lanes into immunology\, joining Jesse Bloom’s lab at the Fred Hutch Cancer Center which studies the antibody response against viruses such as influenza\, HIV\, and SARS-CoV-2. Tal is a Damon Runyon Quantitative Biology Fellow\, and today we will hear about one of his multidisciplinary research projects that combines concepts from physics\, math\, biology\, and computer science to help us understand and augment our antibody response against viruses. \nAbstract for advertising talk: Immunology is undergoing a paradigm shift where the objective has expanded from creating a stopgap vaccine against a currently-circulating virus to developing a universal vaccine that confers lifelong protection. My research uses biophysical modeling and machine learning to probe how the antibody response changes with each viral exposure\, with the ultimate goals of making the antibody response programmable and guiding it to a maximally-protective configuration. My lab will initially build off my expertise with influenza\, but future efforts will generalize these methods to other viruses such as HIV-1 and SARS-CoV-2 that are of interest to public health.
URL:https://www.med.unc.edu/compmed/event/faculty-candidate-seminar-17/
LOCATION:Bioinformatics Building\, Room 1131\, 130 Mason Farm Rd\, Chapel Hill\, NC\, 27514\, United States
ATTACH;FMTTYPE=image/png:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2023/02/Tal-Einav-Headshot.png
ORGANIZER;CN="Victoria Doyle":MAILTO:vdoyle@email.unc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230207T160000
DTEND;TZID=America/New_York:20230207T170000
DTSTAMP:20260410T145454
CREATED:20230221T160629Z
LAST-MODIFIED:20230221T160629Z
UID:10000358-1675785600-1675789200@www.med.unc.edu
SUMMARY:Faculty Candidate Seminar
DESCRIPTION:Talk Title: “Accelerated Molecular Simulations and Drug Discovery” \nRemarkable advances of supercomputing and artificial intelligence (AI) are transforming computational chemistry\, biology and medicine in studies of molecules to cells. However\, large gaps remain between the time scales of supercomputer simulations (typically microseconds) and those of biological processes (milliseconds or even longer). It has proven challenging to achieve sufficient sampling and compute thermodynamics and kinetics of biological systems\, hindering effective drug design. I will present our efforts to address these challenges and make use of simulations for drug discovery. First\, we have developed novel theoretical and computational algorithms and AI techniques. They have enabled unprecedented simulations on repetitive dissociation and binding of small molecules\, peptides and proteins\, thereby allowing for highly efficient and accurate calculations of their binding free energies and kinetics. These parameters are critical for therapeutic design of drugs\, peptides and antibodies. Furthermore\, we have combined complementary accelerated molecular simulations and cutting-edge experimental techniques to uncover functional mechanisms of important biomolecules and design novel drug molecules through successful collaborations with leading experimental groups. Our studied systems include G-protein-coupled receptors (GPCRs) that serve as primary targets of ~1/3 of currently marketed drugs\, γ-secretase (a key membrane-embedded protease implicated in Alzheimer’s disease)\, RNA-binding proteins and RNA. Future outlooks will be provided for AI-driven drug discovery and multiscale modeling of cellular signaling pathways. \nBrief Biography: Dr. Yinglong Miao is an Associate Professor in the Department of Molecular Biosciences and Center for Computational Biology at the University of Kansas. Yinglong obtained Ph.D. in Computational Chemistry in the Peter Ortoleva lab at Indiana University. He then received training in Biophysics and Pharmacology through postdoctoral studies\, first with Jeremy Smith and Jerome Baudry at Oak Ridge National Laboratory/University of Tennessee\, and then with Andy McCammon at the Howard Hughes Medical Institute/the University of California San Diego. Yinglong develops novel accelerated simulation methods and applies these methods in advanced simulations of biomolecules and drug discovery. His lab currently focuses on simulations and drug discovery of G-protein-coupled receptors (GPCRs)\, membrane-embedded proteases\, RNA-binding proteins\, and RNA. Yinglong received the Scientist Development Award from American Heart Association in 2017 and OpenEye Outstanding Junior Faculty Award from ACS Computational Chemistry in 2021. He has been productive in research with >80 published papers and 37 H-index so far. He has received funding from American Heart Association\, NIH and NSF.
URL:https://www.med.unc.edu/compmed/event/faculty-candidate-seminar-16/
LOCATION:Bioinformatics Building\, Room 1131\, 130 Mason Farm Rd\, Chapel Hill\, NC\, 27514\, United States
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2023/02/Yinglong-Miao-scaled.jpg
ORGANIZER;CN="Victoria Doyle":MAILTO:vdoyle@email.unc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230202T140000
DTEND;TZID=America/New_York:20230202T150000
DTSTAMP:20260410T145454
CREATED:20230221T160237Z
LAST-MODIFIED:20230221T160237Z
UID:10000357-1675346400-1675350000@www.med.unc.edu
SUMMARY:Faculty Candidate Seminar
DESCRIPTION:Talk Title: “Interpretable deep learning for cancer personalized medicine” \nDr. María Rodrίguez Martίnez is the Technical Leader of Systems Biology at IBM Research Europe (Switzerland) and an associated member of the Department of Biology at ETH since 2014. A theoretical physicist by training\, she became interested in the development of computational and statistical approaches to unravel cancer molecular mechanisms using high-throughput multi-omics datasets and single-cell molecular data. In recent years\, her team has specialized in the development of AI approaches for personalized drug modeling. More recently\, she is building multi-scale models of the immune system through a combination of deep learning and mechanistic models. Through this effort\, her team has developed deep learning models to predict the specificity of T cell receptors and stochastic mechanistic models to recapitulate B cell development. \nShe is also quite active in the area of interpretable deep learning. Deep learning has achieved astounding performances in a broad range of disciplines\, but breakthrough performances have often come at the price of a lack of information about the rules that govern a model’s decision. Interpretable deep learning aims to develop models that can not only make a prediction with high accuracy\, but can also provide insight into the reasons underlying the prediction. On this area\, her team has contributed several novel methods for different applications in computational biology\, ranging from AI-driven protein modeling to the integration of image and RNA-Seq data modalities.
URL:https://www.med.unc.edu/compmed/event/faculty-candidate-seminar-15/
LOCATION:Bioinformatics Building\, Room 1131\, 130 Mason Farm Rd\, Chapel Hill\, NC\, 27514\, United States
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2023/02/Maria-Rodriguez-Martinez.jpg
ORGANIZER;CN="Victoria Doyle":MAILTO:vdoyle@email.unc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230126T140000
DTEND;TZID=America/New_York:20230126T150000
DTSTAMP:20260410T145454
CREATED:20230110T143907Z
LAST-MODIFIED:20230110T143907Z
UID:10000355-1674741600-1674745200@www.med.unc.edu
SUMMARY:Faculty Candidate Seminar
DESCRIPTION:Presenter: Irene Kaplow\, PhD \nCarnegie Mellon University \nTalk Title: Relating enhancer genetic variation across mammals to complex phenotypes using machine learning \nLecture abstract: Advances in the genome sequencing have provided a comprehensive view of cross-species conservation across small segments of nucleotides.  These conservation measures have proven invaluable for associating phenotypic variation\, both within and across species\, to variation in genotype at protein-coding genes or highly conserved enhancers.  However\, these approaches cannot be applied to the vast majority of enhancers\, where the conservation levels of individual nucleotides are often low even when enhancer function is conserved and where activity is tissue- or cell type-specific.  To overcome these limitations\, we developed the Tissue-Aware Conservation Inference Toolkit (TACIT)\, in which convolutional neural network models learn the regulatory code connecting genome sequence to open chromatin in a tissue of interest\, allowing us to accurately predict cases where differences in genotype are associated with differences in open chromatin in that tissue at candidate enhancer regions.  We established a new set of evaluation criteria for machine learning models developed for this task and used these criteria to compare our models to models trained using different negative sets and to conservation scores.  We then developed a framework for connecting these predictions to phenotypes in a way that accounts for the phylogenetic tree.  When applying our framework to motor cortex\, we identified dozens of new candidate enhancers associated with the evolution of brain size and vocal learning. \nBio.: Irene Kaplow received her B.S. in Mathematics with a minor in Biology from the Massachusetts Institute of Technology in 2010. There\, she began her career as a computational biologist while doing research with Bonnie Berger. She then went to graduate school at Stanford University\, where she received her Ph.D. in Computer Science in 2017. At Stanford\, she worked in the Hunter Fraser and Anshul Kundaje’s labs to develop methods to analyze novel high-throughput sequencing datasets to better understand the roles of DNA methylation and Cys2-His2 zinc finger transcription factor binding in gene expression regulation. Irene is now a Lane Postdoctoral Fellow in Andreas Pfenning’s lab in the Computational Biology Department at Carnegie Mellon University\, where she is developing methods to identify enhancers involved in the evolution of neurological characteristics that have evolved through gene expression.
URL:https://www.med.unc.edu/compmed/event/faculty-candidate-seminar-14/
LOCATION:Bioinformatics Building\, Room 1131\, 130 Mason Farm Rd\, Chapel Hill\, NC\, 27514\, United States
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2023/01/95Cropped.jpg
ORGANIZER;CN="Victoria Doyle":MAILTO:vdoyle@email.unc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230124T160000
DTEND;TZID=America/New_York:20230124T170000
DTSTAMP:20260410T145454
CREATED:20230110T143338Z
LAST-MODIFIED:20230110T144240Z
UID:10000354-1674576000-1674579600@www.med.unc.edu
SUMMARY:Faculty Candidate Seminar
DESCRIPTION:Presenter Christian Cuba-Samaniego\, PhD \nUniversity of California Los Angeles \nTalk Title: Adapting feedback control and pattern recognition paradigms for biotechnological applications \nEngineering synthetic networks with desired behavior for robust adaptation or complex decision-making is challenging. Current approaches rely on different negative regulation techniques or logic-based operators\, which suffer from suboptimal performance. To address this limitation\, we introduce two design principles: (1) ultrasensitive input-output behavior and (2) tunable thresholds. Here\, we engineer ultrasensitive-based networks to both achieve adaptive behavior through feedback control and build synthetic programs for molecular pattern recognition by implementing neural computing networks in living cells.
URL:https://www.med.unc.edu/compmed/event/faculty-candidate-seminar-13/
LOCATION:Bioinformatics Building\, Room 1131\, 130 Mason Farm Rd\, Chapel Hill\, NC\, 27514\, United States
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2023/01/Christian-Cuba-Samaniego.jpg
ORGANIZER;CN="Victoria Doyle":MAILTO:vdoyle@email.unc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230119T140000
DTEND;TZID=America/New_York:20230119T150000
DTSTAMP:20260410T145454
CREATED:20230102T194740Z
LAST-MODIFIED:20230102T194856Z
UID:10000353-1674136800-1674140400@www.med.unc.edu
SUMMARY:Faculty Candidate Seminar
DESCRIPTION:Presenter: Peng He\, PhD \nEuropean Bioinformatics Institute \nWellcome Sanger Institute \nTalk Title: Deciphering human organogenesis principles with single-cell and spatial technologies \n  \nDr. Peng He had his Bachelor’s in Statistics and Biochemistry at the University of Hong Kong\, after which he earned his PhD in genetics at California Institute of Technology. He now holds a joint postdoctoral research position between European Bioinformatics Institute (EMBL-EBI) and Wellcome Trust Sanger Institute
URL:https://www.med.unc.edu/compmed/event/faculty-candidate-seminar-12/
LOCATION:Bioinformatics Building\, Room 1131\, 130 Mason Farm Rd\, Chapel Hill\, NC\, 27514\, United States
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2023/01/HeP17Copy.jpeg
ORGANIZER;CN="Victoria Doyle":MAILTO:vdoyle@email.unc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230112T140000
DTEND;TZID=America/New_York:20230112T150000
DTSTAMP:20260410T145454
CREATED:20230102T193740Z
LAST-MODIFIED:20230102T193740Z
UID:10000352-1673532000-1673535600@www.med.unc.edu
SUMMARY:Faculty Candidate Seminar
DESCRIPTION:Presenter: Abigail Lind\, PhD \nGladstone Institutes\, UCSF\, San Francisco\, CA \nTalk Title: From pathogens to commensals: human-associated microbial eukaryotes through the lens of genomics and evolution \n  \nHumans coexist with myriad microbes that live within and on us\, impacting our health in beneficial and detrimental ways. These microbes come from all domains of life and include bacteria\, archaea\, and eukaryotes. Eukaryotic microbes\, including protists and fungi\, are emerging as key members of the microbiome that influence other microbiota and host health in multifaceted ways. The factors that differentiate negative and positive interactions with a human host\, and mechanistically how eukaryotic microbes accomplish these impacts\, are unknown. \nI have developed methods to routinely and accurately identify eukaryotic microbes in microbiomes\, and discovered that multiple commensal protists are common members of a healthy gut. I have found that Blastocystis\, a diverse species complex of stramenopile protists\, are the most prevalent commensal gut eukaryotes worldwide and can be found in the guts of animals from insects to humans. Interestingly\, Blastocystis is closely associated with gut health\, correlating with decreased inflammation and high bacterial diversity. However\, we understand very little about the biology of this common organism\, which in the past has even been viewed as a parasite. Using comparative and functional genomics approaches in combination with mechanistic experiments on defined anaerobic cultures I investigate the function of Blastocystis and other commensal gut protists in the microbiome. These approaches have identified key biological principles of Blastocystis and in the future will determine how these common commensal gut protists interact with bacterial gut microbiota and the human host to impact health.
URL:https://www.med.unc.edu/compmed/event/faculty-candidate-seminar-11/
LOCATION:Bioinformatics Building\, Room 1131\, 130 Mason Farm Rd\, Chapel Hill\, NC\, 27514\, United States
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2023/01/Abigail-Lind-Headshot-scaled.jpeg
ORGANIZER;CN="Victoria Doyle":MAILTO:vdoyle@email.unc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230110T160000
DTEND;TZID=America/New_York:20230110T170000
DTSTAMP:20260410T145454
CREATED:20230102T193028Z
LAST-MODIFIED:20230102T193028Z
UID:10000351-1673366400-1673370000@www.med.unc.edu
SUMMARY:Faculty Candidate Seminar
DESCRIPTION:Presenter: Haibo Ni\, PhD \nDepartment of Pharmacology\, School of Medicine \nUniversity of California\, Davis \nTalk Title: Quantitative systems physiology and pharmacology for cardiac arrhythmias \n  \nDr. Haibo Ni is an Assistant Project Scientist at the Department of Pharmacology\, University of California Davis. He obtained his Ph.D. degree in Biological Physics from the University of Manchester\, U.K.\, in 2017\, and completed postdoctoral training with Prof. Eleonora Grandi’s lab at Davis. Dr. Ni received a prestigious American Heart Association (AHA) Postdoctoral Fellowship and is a grant reviewer for AHA Fellowship programs. He has 28 peer-reviewed journal publications and one book chapter in press.\nDr. Ni’s research advances quantitative systems investigation of cardiac physiology\, pathophysiology\, and pharmacology by developing multiscale and multiphysics computational frameworks of the heart. Dr. Ni’s work focuses on applying these frameworks to dissect complex mechanisms of heart diseases and define and optimize new therapeutic strategies through in-silico drug screening and virtual clinical trials using personalized simulations\, with an emphasis on heart rhythm disorders.
URL:https://www.med.unc.edu/compmed/event/faculty-candidate-seminar-10/
LOCATION:Bioinformatics Building\, Room 1131\, 130 Mason Farm Rd\, Chapel Hill\, NC\, 27514\, United States
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2023/01/Haibo_Ni_Photo-scaled.jpg
ORGANIZER;CN="Victoria Doyle":MAILTO:vdoyle@email.unc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221215T140000
DTEND;TZID=America/New_York:20221215T150000
DTSTAMP:20260410T145454
CREATED:20220908T145923Z
LAST-MODIFIED:20221207T211338Z
UID:10000333-1671112800-1671116400@www.med.unc.edu
SUMMARY:CompMed Seminar
DESCRIPTION:Presenter: Amy Brock PhD\nAssociate Professor\nRaymond F. Dawson Centennial Fellow\nThe University of Texas at Austin | Biomedical Engineering\, Institute for Cell and Molecular Biology \nTalk title: Tracking population heterogeneity and the dynamics of chemoresistance
URL:https://www.med.unc.edu/compmed/event/compmed-seminar-7/
LOCATION:Bioinformatics Building\, Room 1131\, 130 Mason Farm Rd\, Chapel Hill\, NC\, 27514\, United States
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2022/09/Brock_headshot_2022-scaled.jpg
ORGANIZER;CN="Victoria Doyle":MAILTO:vdoyle@email.unc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200116T140000
DTEND;TZID=America/New_York:20200116T150000
DTSTAMP:20260410T145454
CREATED:20200112T201736Z
LAST-MODIFIED:20200112T201736Z
UID:10000240-1579183200-1579186800@www.med.unc.edu
SUMMARY:Computational Medicine Seminar
DESCRIPTION:Guest Speaker: Arnoldo Frigessi\, PhD \nProfessor of Statistics\, University of Oslo\, Norway \n“Towards personalized computer simulation of breast cancer treatment” \n 
URL:https://www.med.unc.edu/compmed/event/computational-medicine-seminar-7/
LOCATION:Bioinformatics Building\, Room 1131\, 130 Mason Farm Rd\, Chapel Hill\, NC\, 27514\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200109T140000
DTEND;TZID=America/New_York:20200109T150000
DTSTAMP:20260410T145454
CREATED:20190903T202722Z
LAST-MODIFIED:20200102T145817Z
UID:10000237-1578578400-1578582000@www.med.unc.edu
SUMMARY:Computational Medicine Seminar
DESCRIPTION:Presenter: H. Steve Wiley\, PhD \nTalk Title: The regulatory architecture of the EGF receptor system
URL:https://www.med.unc.edu/compmed/event/computational-medicine-seminar-4/
LOCATION:Bioinformatics Building\, Room 1131\, 130 Mason Farm Rd\, Chapel Hill\, NC\, 27514\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20191212T140000
DTEND;TZID=America/New_York:20191212T150000
DTSTAMP:20260410T145454
CREATED:20190903T202344Z
LAST-MODIFIED:20191203T185731Z
UID:10000236-1576159200-1576162800@www.med.unc.edu
SUMMARY:Computational Medicine Seminar
DESCRIPTION:Presenter: Patrick Sullivan \nTalk Title: “Computational Medicine: collaborative possibilities in psychiatric genomics and in the Nordic countries”
URL:https://www.med.unc.edu/compmed/event/computational-medicine-seminar-3/
LOCATION:Bioinformatics Building\, Room 1131\, 130 Mason Farm Rd\, Chapel Hill\, NC\, 27514\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20191114T140000
DTEND;TZID=America/New_York:20191114T150000
DTSTAMP:20260410T145454
CREATED:20190903T201859Z
LAST-MODIFIED:20191105T131616Z
UID:10000235-1573740000-1573743600@www.med.unc.edu
SUMMARY:Computational Medicine Seminar
DESCRIPTION:Presenter: Vito Quaranta \nTitle: “Systems-level approaches to cancer heterogeneity: Phenotypic landscapes\, trajectories and destabilizers”
URL:https://www.med.unc.edu/compmed/event/computational-medicine-seminar-2/
LOCATION:Bioinformatics Building\, Room 1131\, 130 Mason Farm Rd\, Chapel Hill\, NC\, 27514\, United States
END:VEVENT
END:VCALENDAR