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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250918T140000
DTEND;TZID=America/New_York:20250918T150000
DTSTAMP:20260524T150005
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:20260524T150005
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:20260524T150005
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:20260524T150005
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:20260524T150005
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/
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210318T140000
DTEND;TZID=America/New_York:20210318T150000
DTSTAMP:20260524T150005
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/
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:20260524T150005
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/
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:20260524T150005
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:20260524T150005
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:20260524T150005
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:20260524T150005
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:20260524T150005
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:20260524T150005
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:20260524T150005
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:20260524T150005
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