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DTSTART;TZID=America/New_York:20260416T140000
DTEND;TZID=America/New_York:20260416T150000
DTSTAMP:20260523T154037
CREATED:20260223T203930Z
LAST-MODIFIED:20260223T204104Z
UID:10000481-1776348000-1776351600@www.med.unc.edu
SUMMARY:Seminar with Irina Kufareva\, PhD (UC San Diego)
DESCRIPTION:In person only | Hosted by Dr.Yinglong Miao \nResearch Summary: The Kufareva lab studies structural\, molecular\, and architectural principles of cell responses to stimuli and drugs via computational approaches. Our work is mostly focused on G protein-coupled receptors (GPCRs). We use conventional and AI-powered molecular modeling to unlock the therapeutic potential of orphan and understudied GPCRs. \n  \n \n  \nABOUT THE SPEAKER:  \nIrina Kufareva\, PhD\, Professor \nSkaggs School of Pharmacy and Pharmaceutical Sciences \nUC San Diego \nEducation: S.c. laude M.S. in Mathematics and Computer Science (1994) from Tomsk State University\, Russia; Ph.D. in Computer Science (2000) from Tomsk State University\, Russia \nPostdoctoral training: Computational Structural Biology (2004-2009)\, The Scripps Research Institute\, La Jolla\, CA \nSelected Professional Experiences: Editorial Board member\, npj Drug Discovery (2024-present)\, NIH DMPB study section standing member and alternate chair (2023-2025); NIH DDNS study section\, standing member (2022); NIH BPNS study section\, standing member (2021); co-organizer\, community-wide GPCR Dock assessments (2010\, 2013\, 2021); ad hoc reviewer for NSF CLP PSD panel (2019) and NIH NCF study section (2017). \nSelected Honors \n\nRecipient of the UC San Diego VCHS Excellence Award in Mentorship\, Service and Research\nInvited presentations at the CHI Discovery On Target Conference\, Boston\, MA (2022)\, Gordon Research Conference on Mol. Pharmacology\, Ventura\, CA (2019)\, 256th ACS National Meeting\, Boston\, MA (2018)\, 5th Hawaiian GPCR workshop\, Kona\, Hawaii (2017)\, ASCEPT-MPGPCR Joint Scientific Meeting\, Melbourne\, Australia (2016)\, and others.\nWork featured in Nature News & Views (2016)\, Thomson Reuters Journal Citation Reports (2016)\, Science Perspectives (2015)\, Biopolymers (2014)\, and UC San Diego HS Newsroom (on several occasions).
URL:https://www.med.unc.edu/compmed/event/seminar-with-irina-kufareva-phd-uc-san-diego/
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/852/2026/02/Kufareva-Irina-Portrait-202410-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260410T100000
DTEND;TZID=America/New_York:20260410T110000
DTSTAMP:20260523T154037
CREATED:20260312T142550Z
LAST-MODIFIED:20260312T142550Z
UID:10000482-1775815200-1775818800@www.med.unc.edu
SUMMARY:LCCC Seminar with Joel Saltz\, MD (Stony Brook University)
DESCRIPTION:The UNC Lineberger Comprehensive Cancer Center\, in collaboration with the UNC Computational Medicine Program\n \n——— \n\nAbout the Speaker:   Dr. Joel Saltz is a Distinguished Professor of Biomedical Informatics at Stony Brook University and a pioneer in computational pathology and AI. A Fellow of the American College of Medical Informatics\, he has founded three Biomedical Informatics departments. He holds an MD and a PhD in Computer Science\, completed his residency at Johns Hopkins\, and is board-certified in Clinical Pathology.\n\nAbstract: Routine Hematoxylin and Eosin (H&E) stained slides harbor a wealth of diagnostic and prognostic information that extends far beyond what conventional visual inspection can extract. This talk traces the evolution of computational pathology\, from foundational digital infrastructure like the Virtual Microscope to advanced deep learning methodologies. I will discuss our recent pathology AI research\, including latent conditional diffusion models for predicting immunohistochemistry (IHC) staining directly from H&E\, the generation of privacy-preserving synthetic tissues\, explainable pathology AI\, and techniques for extracting pathology synoptic elements using biologically interpretable models. I will also describe our collaborative work with UNC in breast cancer\, focusing on the predictive value of tumor-infiltrating lymphocytes (TILs) and the use of quantitative tissue morphology to accurately forecast clinical outcomes.
URL:https://www.med.unc.edu/compmed/event/lccc-seminar-with-joel-saltz-md-stony-brook-university/
LOCATION:Mary Ellen Jones 3116\, 116 Manning Drive\, Chapel Hill\, NC\, 27599\, United States
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2026/03/190225_SaltzJoel_05-scaled-e1773325526748.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260219T140000
DTEND;TZID=America/New_York:20260219T150000
DTSTAMP:20260523T154037
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:20251120T140000
DTEND;TZID=America/New_York:20251120T150000
DTSTAMP:20260523T154037
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:20260523T154037
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:20260523T154037
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:20260523T154037
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:20241028T090000
DTEND;TZID=America/New_York:20241028T180000
DTSTAMP:20260523T154037
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:20230317T110000
DTEND;TZID=America/New_York:20230317T120000
DTSTAMP:20260523T154037
CREATED:20230302T213200Z
LAST-MODIFIED:20230302T214857Z
UID:10000366-1679050800-1679054400@www.med.unc.edu
SUMMARY:BRC Spring Seminar - Dr. Karl Desch
DESCRIPTION:Together with Dr. Erica Sparkenbaugh in the Blood Research Center\, Karin Leiderman\, PhD is hosting a seminar speaker for the BRC Spring Seminar series. They invited Dr. Karl Desch from the University of Michigan on March 17th\, at 11:00 am. His talk is titled: “Using human genetic variation to explore mechanisms of hemostasis and thrombosis.”
URL:https://www.med.unc.edu/compmed/event/brc-spring-seminar-dr-karl-desch/
LOCATION:Mary Ellen Jones 3116\, 116 Manning Drive\, Chapel Hill\, NC\, 27599\, United States
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2023/03/Karl-Desch.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210928T080000
DTEND;TZID=America/New_York:20210928T170000
DTSTAMP:20260523T154037
CREATED:20210928T201404Z
LAST-MODIFIED:20210928T201404Z
UID:10000308-1632816000-1632848400@www.med.unc.edu
SUMMARY:Computational Medicine Seminar
DESCRIPTION:Presenter: Smita Krishnaswamy\, PhD \nTal Title: TBA \n \nDr. Smita Krishnaswamy is an Associate Professor in Genetics and Computer Science. She is affiliated with the applied math program\, computational biology program\, Yale Center for Biomedical Data Science\, and Yale Cancer Center. Her lab works on the development of machine learning techniques to analyze high-dimensional high throughput biomedical data. Her focus is on unsupervised machine learning methods\, specifically manifold learning and deep learning techniques for detecting structure and patterns in data. She has developed algorithms for non-linear dimensionality reduction and visualization\, learning data geometry\, denoising\, imputation\, inference of multi-granular structure\, and inference of feature networks from big data. Her group has applied these techniques to many data types such as single-cell RNA-sequencing\, mass cytometry\, electronic health records\, and connectomic data from a variety of systems. Specific application areas include immunology\, immunotherapy\, cancer\, neuroscience\, developmental biology\, and health outcomes. Smita has a Ph.D. in Computer Science and Engineering from the University of Michigan.
URL:https://www.med.unc.edu/compmed/event/computational-medicine-seminar-15/
LOCATION:NC
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210318T140000
DTEND;TZID=America/New_York:20210318T150000
DTSTAMP:20260523T154037
CREATED:20201110T190421Z
LAST-MODIFIED:20210422T143646Z
UID:10000208-1616076000-1616079600@www.med.unc.edu
SUMMARY:Computational Medicine Seminar
DESCRIPTION:David Van Valen\, PhD \nAssistant Professor\, Division of Biology and Biological Engineering \nCalifornia Institute of Technology \nTalk Title:  “Single-cell biology in a software 2.0 world” \n  \nAbstract: \nMultiplexed imaging methods can measure the expression of dozens of proteins while preserving spatial information. While these methods open an exciting new window into the biology of human tissues\, interpreting the images they generate with single cell resolution remains a significant challenge. Current approaches to this problem in tissues rely on identifying cell nuclei\, which results in inaccurate estimates of cellular phenotype and morphology. In this work\, we overcome this limitation by combining multiplexed imaging’s ability to image nuclear and membrane markers with large-scale data annotation and deep learning. We describe the construction of TissueNet\, an image dataset containing more than one million paired whole-cell and nuclear annotations across eight tissue types and five imaging platforms. We also present Mesmer\, a single model trained on this dataset that can perform nuclear and whole cell segmentation with human-level accuracy – as judged by expert human annotators and a panel of pathologists – across tissue types and imaging platforms. We show that Mesmer accurately measures cell morphology in tissues\, opening up a new observable for quantifying cellular phenotypes in vivo. We make this model available to users of all backgrounds with both cloud-native software and on-premise software. Last\, we also describe ongoing work to develop a similar resource and models for dynamic live-cell imaging data.
URL:https://www.med.unc.edu/compmed/event/computational-medicine-seminar-11/
LOCATION:NC
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2020/11/David-Van-Valen.jpg
ORGANIZER;CN="Victoria Doyle":MAILTO:vdoyle@email.unc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210218T140000
DTEND;TZID=America/New_York:20210218T150000
DTSTAMP:20260523T154037
CREATED:20201110T190319Z
LAST-MODIFIED:20210205T161324Z
UID:10000277-1613656800-1613660400@www.med.unc.edu
SUMMARY:Computational Medicine Seminar
DESCRIPTION:Presenter: Kevin Janes\, PhD \nTalk Title: “Complete kinetic modeling of an RNA pathogen” \nComplete kinetic models are pervasive in chemistry but lacking in biological systems. We encoded the complete kinetics of infection for coxsackievirus B3 (CVB3)\, a compact and fast-acting RNA virus. The kinetics are built from detailed modules for viral binding–delivery\, translation–replication\, and encapsidation. Specific module activities are dampened by the type I interferon response to viral double-stranded RNAs (dsRNAs)\, which is itself disrupted by viral proteinases. The validated kinetics uncovered that cleavability of the dsRNA transducer mitochondrial antiviral signaling protein (MAVS) becomes a stronger determinant of viral outcomes when cells receive supplemental interferon after infection. Cleavability is naturally altered in humans by a common MAVS polymorphism\, which removes a proteinase-targeted site but paradoxically elevates CVB3 infectivity. These observations are reconciled with a simple nonlinear model of MAVS regulation. Modeling complete kinetics is an attainable goal for small\, rapidly infecting viruses and perhaps viral pathogens more broadly. \n\nJanes\, Kevin A.
URL:https://www.med.unc.edu/compmed/event/computational-medicine-seminar-10/
LOCATION:NC
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2020/11/KevinJanes_headshot.jpg
ORGANIZER;CN="Victoria Doyle":MAILTO:vdoyle@email.unc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20191122T100000
DTEND;TZID=America/New_York:20191122T110000
DTSTAMP:20260523T154037
CREATED:20190603T204109Z
LAST-MODIFIED:20191119T180659Z
UID:10000204-1574416800-1574420400@www.med.unc.edu
SUMMARY:COMP MED Research In Progress Meeting
DESCRIPTION:Presenter: Alexander Tropsha \nTitle:“Testable predictions of chemical bioactivity and toxicity with machine learning approaches” \n \n 
URL:https://www.med.unc.edu/compmed/event/comp-med-research-in-progress-meeting-14/
LOCATION:Mary Ellen Jones 3112\, 116 Manning Drive\, Chapel Hill\, NC\, 27514
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190509T140000
DTEND;TZID=America/New_York:20190509T150000
DTSTAMP:20260523T154037
CREATED:20180921T201414Z
LAST-MODIFIED:20190315T195128Z
UID:10000179-1557410400-1557414000@www.med.unc.edu
SUMMARY:Regina Barzilay\, PhD: Computational Medicine Inaugural Seminar
DESCRIPTION:Regina Barzilay is a Delta Electronics professor in the Department of Electrical Engineering and Computer Science and a member of the Computer Science and Artificial Intelligence Laboratory at the Massachusetts Institute of Technology. Her research interests are in natural language processing\, applications of deep learning to chemistry and oncology. She is a recipient of various awards including the NSF Career Award\, the MIT Technology Review TR-35 Award\, Microsoft Faculty Fellowship and several Best Paper Awards at NAACL and ACL. In 2017\, she received a MacArthur fellowship\, an ACL fellowship and an AAAI fellowship. She received her Ph.D. in Computer Science from Columbia University\, and spent a year as a postdoc at Cornell University.
URL:https://www.med.unc.edu/compmed/event/regina-barzilay-phd-computational-medicine-inaugural-seminar/
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/852/2018/09/Regina-Barzilay.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190227T140000
DTEND;TZID=America/New_York:20190227T150000
DTSTAMP:20260523T154037
CREATED:20190130T160340Z
LAST-MODIFIED:20190213T141906Z
UID:10000197-1551276000-1551279600@www.med.unc.edu
SUMMARY:Computational Medicine Faculty Candidate\, Adam Palmer\, PhD
DESCRIPTION:UNC Computational Medicine Program Presenting Faculty Candidate Speaker\, Adam Palmer\, PhD from Harvard Medical School \nTalk Title “TBA”
URL:https://www.med.unc.edu/compmed/event/computational-medicine-faculty-candidate-adam-palmer-phd/
LOCATION:Lineberger Pagano Conference Room\, 450 West Drive\, Chapel Hill\, 27599\, United States
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2019/01/Adam-Palmer-portrait.jpg
ORGANIZER;CN="Victoria Doyle":MAILTO:vdoyle@email.unc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190225T160000
DTEND;TZID=America/New_York:20190225T170000
DTSTAMP:20260523T154037
CREATED:20190130T160023Z
LAST-MODIFIED:20190213T142215Z
UID:10000196-1551110400-1551114000@www.med.unc.edu
SUMMARY:Computational Medicine Faculty Candidate\, Jason Yang\, PhD
DESCRIPTION:UNC Computational Medicine Program Presenting Faculty Candidate Speaker\, Jason Yang\, PhD from MIT/ Broad Institute \nTalk Title “A White-Box Machine Learning Approach for Revealing Molecular Mechanisms”
URL:https://www.med.unc.edu/compmed/event/computational-medicine-faculty-candidate-jason-yang-phd/
LOCATION:Lineberger Pagano Conference Room\, 450 West Drive\, Chapel Hill\, 27599\, United States
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/png:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2019/01/Yang-Headshot.png
ORGANIZER;CN="Victoria Doyle":MAILTO:vdoyle@email.unc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190219T120000
DTEND;TZID=America/New_York:20190219T130000
DTSTAMP:20260523T154037
CREATED:20190130T155536Z
LAST-MODIFIED:20190213T141705Z
UID:10000195-1550577600-1550581200@www.med.unc.edu
SUMMARY:Computational Medicine Faculty Candidate\, Donna Werling\, PhD
DESCRIPTION:UNC Computational Medicine Program Presenting Faculty Candidate Speaker\, Donna Werling\, PhD from the University of California\, San Francisco \nTalk Title “Genomic investigation of genetic variation and sex-differential biology in brain development and autism”
URL:https://www.med.unc.edu/compmed/event/computational-medicine-faculty-candidate-donna-werling-phd/
LOCATION:Lineberger Pagano Conference Room\, 450 West Drive\, Chapel Hill\, 27599\, United States
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2019/01/Donna-Werling-Profile-Pic-scaled.jpg
ORGANIZER;CN="Victoria Doyle":MAILTO:vdoyle@email.unc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190215T150000
DTEND;TZID=America/New_York:20190215T160000
DTSTAMP:20260523T154037
CREATED:20190130T154625Z
LAST-MODIFIED:20190213T135053Z
UID:10000194-1550242800-1550246400@www.med.unc.edu
SUMMARY:Computational Medicine Faculty Candidate\, Wanding Zhou\, PhD
DESCRIPTION:UNC Computational Medicine Program Presenting Faculty Candidate Speaker\, Wanding Zhou\, PhD from Van Andel Research Institute \nTalk Title “What do we lose from Getting Old? — Towards a Better Understanding of DNA Methylation in Normal and Cancer Cells” \n 
URL:https://www.med.unc.edu/compmed/event/computational-medicine-faculty-candidate-wanding-zhou-phd/
LOCATION:Lineberger Pagano Conference Room\, 450 West Drive\, Chapel Hill\, 27599\, United States
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2019/01/wanding-Zhou-Profile-Picture.jpg
ORGANIZER;CN="Victoria Doyle":MAILTO:vdoyle@email.unc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190206T133000
DTEND;TZID=America/New_York:20190206T143000
DTSTAMP:20260523T154037
CREATED:20190130T153436Z
LAST-MODIFIED:20190130T154639Z
UID:10000193-1549459800-1549463400@www.med.unc.edu
SUMMARY:Computational Medicine Faculty Candidate\, John Platig\, PhD
DESCRIPTION:UNC Computational Medicine Program Presenting Faculty Candidate Speaker\, John Platig\, PhD \nTalk Title “Tackling multi-omic data sets with network methods” \n 
URL:https://www.med.unc.edu/compmed/event/computational-medicine-faculty-candidate-presentation-john-platig-phd/
LOCATION:Lineberger Pagano Conference Room\, 450 West Drive\, Chapel Hill\, 27599\, United States
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2019/01/John-Platig.jpg
ORGANIZER;CN="Victoria Doyle":MAILTO:vdoyle@email.unc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190201T110000
DTEND;TZID=America/New_York:20190201T120000
DTSTAMP:20260523T154037
CREATED:20190130T152624Z
LAST-MODIFIED:20190130T154711Z
UID:10000192-1549018800-1549022400@www.med.unc.edu
SUMMARY:Computational Medicine Faculty Candidate\, Qingqing Wang\, PhD
DESCRIPTION:UNC Computational Medicine Program Presenting Faculty Candidate Speaker\, Qingqing Wang\, PhD \nTalk Title “Decoding the roles of RNA splicing in specifying complex cellular behavior and identity” \n 
URL:https://www.med.unc.edu/compmed/event/faculty-candidate-presentation-qingqing-wang-phd/
LOCATION:Lineberger Pagano Conference Room\, 450 West Drive\, Chapel Hill\, 27599\, United States
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2019/01/Qingqing-Wang-profile-scaled.jpg
ORGANIZER;CN="Victoria Doyle":MAILTO:vdoyle@email.unc.edu
END:VEVENT
END:VCALENDAR