BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Computational Medicine - ECPv6.15.14//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://www.med.unc.edu/compmed
X-WR-CALDESC:Events for Computational Medicine
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20210314T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20211107T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20220313T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20221106T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20230312T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20231105T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20240310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20241103T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220902T100000
DTEND;TZID=America/New_York:20220902T110000
DTSTAMP:20260403T140919
CREATED:20220901T205956Z
LAST-MODIFIED:20220901T210132Z
UID:10000273-1662112800-1662116400@www.med.unc.edu
SUMMARY:CompMed Research in Progress
DESCRIPTION:Presenter: Karin Leiderman \nTalk Title: “Mathematical modeling combined antiplatelet and anticoagulant treatment on thrombin generation under flow”
URL:https://www.med.unc.edu/compmed/event/compmed-research-in-progress-27/
LOCATION:NC
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2022/01/Karin-Liederman-scaled.jpg
ORGANIZER;CN="Victoria Doyle":MAILTO:vdoyle@email.unc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220909T100000
DTEND;TZID=America/New_York:20220909T110000
DTSTAMP:20260403T140919
CREATED:20220901T210249Z
LAST-MODIFIED:20220901T210249Z
UID:10000275-1662717600-1662721200@www.med.unc.edu
SUMMARY:Canceled - CompMed Research in Progress
DESCRIPTION:No Meeting today
URL:https://www.med.unc.edu/compmed/event/canceled-compmed-research-in-progress/
LOCATION:NC
ORGANIZER;CN="Victoria Doyle":MAILTO:vdoyle@email.unc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220915T140000
DTEND;TZID=America/New_York:20220915T150000
DTSTAMP:20260403T140919
CREATED:20220908T143632Z
LAST-MODIFIED:20220914T195227Z
UID:10000330-1663250400-1663254000@www.med.unc.edu
SUMMARY:CANCELED CompMed Seminar
DESCRIPTION:Canceled
URL:https://www.med.unc.edu/compmed/event/compmed-seminar-4/
LOCATION:NC
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2022/09/Davis_2019_33_sm-copy-scaled.jpg
ORGANIZER;CN="Victoria Doyle":MAILTO:vdoyle@email.unc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220916T100000
DTEND;TZID=America/New_York:20220916T110000
DTSTAMP:20260403T140919
CREATED:20220901T211404Z
LAST-MODIFIED:20220901T211404Z
UID:10000329-1663322400-1663326000@www.med.unc.edu
SUMMARY:CompMed Research in Progress
DESCRIPTION:Presenter: Taebin Kim\nTalk Title: “Multiple Instance Learning for Breast Cancer Histopathology Images”
URL:https://www.med.unc.edu/compmed/event/compmed-research-in-progress-28/
LOCATION:NC
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2022/09/Taebin-Kim.jpg
ORGANIZER;CN="Victoria Doyle":MAILTO:vdoyle@email.unc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221007T100000
DTEND;TZID=America/New_York:20221007T110000
DTSTAMP:20260403T140919
CREATED:20220908T161523Z
LAST-MODIFIED:20220919T183936Z
UID:10000334-1665136800-1665140400@www.med.unc.edu
SUMMARY:Computational Medicine Research in Progress
DESCRIPTION:Presenter: Clark Jeffries\nGrid Developer Bioinformatics\nTalk Title: Plasminogen activator\, SERPINE1\, schizophrenia\, and Karl Pearson
URL:https://www.med.unc.edu/compmed/event/computational-medicine-research-in-progress-2/
LOCATION:NC
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2022/09/Jeffries-Clark.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221014T100000
DTEND;TZID=America/New_York:20221014T110000
DTSTAMP:20260403T140919
CREATED:20220908T162046Z
LAST-MODIFIED:20220919T191949Z
UID:10000335-1665741600-1665745200@www.med.unc.edu
SUMMARY:Computational Medicine Research in Progress
DESCRIPTION:Presenter: Jack Linehan (Amy Maddox Lab) \nTalk title: Trajectory Classification Method for Anchored Molecular Motor-Biopolymer Interactions in asymmetric cell division
URL:https://www.med.unc.edu/compmed/event/computational-medicine-research-in-progress-3/
LOCATION:NC
ATTACH;FMTTYPE=image/png:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2022/09/Jack-Linehan.png
ORGANIZER;CN="Victoria Doyle":MAILTO:vdoyle@email.unc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221020T140000
DTEND;TZID=America/New_York:20221020T150000
DTSTAMP:20260403T140919
CREATED:20220908T144240Z
LAST-MODIFIED:20220908T145022Z
UID:10000331-1666274400-1666278000@www.med.unc.edu
SUMMARY:CompMed Seminar
DESCRIPTION:Presenter: Guang Yao\nAssociate Professor\, Molecular & Cellular Biology\nUniversity of Arizona\, Tucson\, AZ \nTalk Title: TBA
URL:https://www.med.unc.edu/compmed/event/compmed-seminar-5/
LOCATION:NC
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2022/09/yao_profile_photo.jpg
ORGANIZER;CN="Victoria Doyle":MAILTO:vdoyle@email.unc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221021T100000
DTEND;TZID=America/New_York:20221021T110000
DTSTAMP:20260403T140919
CREATED:20220921T205936Z
LAST-MODIFIED:20220921T210011Z
UID:10000340-1666346400-1666350000@www.med.unc.edu
SUMMARY:No Meeting - Research in Progress Fall Break
DESCRIPTION:
URL:https://www.med.unc.edu/compmed/event/no-meeting-research-in-progress-fall-break/
LOCATION:NC
ORGANIZER;CN="Victoria Doyle":MAILTO:vdoyle@email.unc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221104T100000
DTEND;TZID=America/New_York:20221104T110000
DTSTAMP:20260403T140919
CREATED:20221018T143339Z
LAST-MODIFIED:20221021T222211Z
UID:10000342-1667556000-1667559600@www.med.unc.edu
SUMMARY:CompMed Research in Progress
DESCRIPTION:Presenter: Jiawen Chen \nTalk Title: “Cell composition inference and identification of layer-specific transcriptional profiles with POLARIS”
URL:https://www.med.unc.edu/compmed/event/compmed-research-in-progress-30/
LOCATION:Mary Ellen Jones 3112\, 116 Manning Drive\, Chapel Hill\, NC\, 27514
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2022/10/Jiawen-Chen.jpg
ORGANIZER;CN="Victoria Doyle":MAILTO:vdoyle@email.unc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221111T100000
DTEND;TZID=America/New_York:20221111T110000
DTSTAMP:20260403T140919
CREATED:20221018T143528Z
LAST-MODIFIED:20221107T180527Z
UID:10000343-1668160800-1668164400@www.med.unc.edu
SUMMARY:CompMed Research in Progress
DESCRIPTION:Presenter: Jolene Ranek \nTalk Title: “Feature selection for preserving biological trajectories in single-cell data”
URL:https://www.med.unc.edu/compmed/event/compmed-research-in-progress-31/
LOCATION:Mary Ellen Jones 3112\, 116 Manning Drive\, Chapel Hill\, NC\, 27514
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2020/08/Jolene-Ranek.jpg
ORGANIZER;CN="Victoria Doyle":MAILTO:vdoyle@email.unc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221117T140000
DTEND;TZID=America/New_York:20221117T150000
DTSTAMP:20260403T140919
CREATED:20220908T145356Z
LAST-MODIFIED:20220921T200546Z
UID:10000332-1668693600-1668697200@www.med.unc.edu
SUMMARY:CompMed Seminar
DESCRIPTION:A Computational Medicine and the Center for Environmental Health and Susceptibility (CEHS) collaboration \nPresenter: Didong Li \nTalk Title: Linear models for case-control data
URL:https://www.med.unc.edu/compmed/event/compmed-seminar-6/
LOCATION:NC
ATTACH;FMTTYPE=image/png:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2022/09/Didong-Li.png
ORGANIZER;CN="Victoria Doyle":MAILTO:vdoyle@email.unc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221118T100000
DTEND;TZID=America/New_York:20221118T110000
DTSTAMP:20260403T140919
CREATED:20221018T143813Z
LAST-MODIFIED:20221107T180833Z
UID:10000344-1668765600-1668769200@www.med.unc.edu
SUMMARY:CompMed Research in Progress
DESCRIPTION:Presenter: Carson Mosso \nTalk Title: “Association Mining and Sensitivity Analysis for Single-cell RNA-sequencing Data“
URL:https://www.med.unc.edu/compmed/event/compmed-research-in-progress-32/
LOCATION:Mary Ellen Jones 3106\, 116 Manning Drive\, 3rd floor\, Chapel Hill\, NC\, 27599\, United States
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2022/01/Carson-Mosso.jpg
ORGANIZER;CN="Victoria Doyle":MAILTO:vdoyle@email.unc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221202T100000
DTEND;TZID=America/New_York:20221202T110000
DTSTAMP:20260403T140919
CREATED:20221018T142858Z
LAST-MODIFIED:20221107T181521Z
UID:10000341-1669975200-1669978800@www.med.unc.edu
SUMMARY:CompMed Research in Progress
DESCRIPTION:Presenter: Sarah Van Alsten \nTalk Title: “Genomic algorithms to distinguish recurrent and second primary breast tumors”
URL:https://www.med.unc.edu/compmed/event/compmed-research-in-progress-29/
LOCATION:Mary Ellen Jones 3112\, 116 Manning Drive\, Chapel Hill\, NC\, 27514
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2022/10/Sarah-Van-Alsten.jpg
ORGANIZER;CN="Victoria Doyle":MAILTO:vdoyle@email.unc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221209T100000
DTEND;TZID=America/New_York:20221209T110000
DTSTAMP:20260403T140919
CREATED:20221207T211012Z
LAST-MODIFIED:20221207T211228Z
UID:10000347-1670580000-1670583600@www.med.unc.edu
SUMMARY:No Meeting - Research in Progress
DESCRIPTION:No Research in Progress today\, have a safe Holiday and see you January 6\, 2023
URL:https://www.med.unc.edu/compmed/event/no-research-in-progress/
LOCATION:NC
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:20260403T140919
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:20221216T100000
DTEND;TZID=America/New_York:20221216T110000
DTSTAMP:20260403T140919
CREATED:20221018T144018Z
LAST-MODIFIED:20221018T144219Z
UID:10000345-1671184800-1671188400@www.med.unc.edu
SUMMARY:No Meeting - Research in Progress Winter Holiday
DESCRIPTION:No Meeting – Research in Progress Winter Holiday
URL:https://www.med.unc.edu/compmed/event/no-meeting-research-in-progress-winter-holiday/
LOCATION:NC
ORGANIZER;CN="Victoria Doyle":MAILTO:vdoyle@email.unc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20221227
DTEND;VALUE=DATE:20230103
DTSTAMP:20260403T140919
CREATED:20221128T173725Z
LAST-MODIFIED:20221128T173725Z
UID:10000346-1672099200-1672703999@www.med.unc.edu
SUMMARY:Holiday
DESCRIPTION:
URL:https://www.med.unc.edu/compmed/event/holiday/
LOCATION:NC
ORGANIZER;CN="Victoria Doyle":MAILTO:vdoyle@email.unc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230105T140000
DTEND;TZID=America/New_York:20230105T150000
DTSTAMP:20260403T140919
CREATED:20230102T175924Z
LAST-MODIFIED:20230102T175924Z
UID:10000349-1672927200-1672930800@www.med.unc.edu
SUMMARY:Faculty Candidate Seminar
DESCRIPTION:Presenter: Arjun Bhattacharya\, PhD \nDepartment of Pathology and Laboratory Medicine \nDavid Geffen School of Medicine \nUniversity of California\, Los Angeles \nTalk Title: The breadth and depth of transcriptomics to understand the genetic etiology of diseases \n  \nArjun Bhattacharya\, PhD is a Postdoctoral Fellow in the Department of Pathology and Laboratory Medicine and in Computational Medicine at the David Geffen School of Medicine at UCLA and a Fellow of the Institute for Quantitative and Computational Biosciences. He earned my PhD in Biostatistics at the University of North Carolina at Chapel Hill\, where he focused on statistical genetics\, computational genomics\, and molecular epidemiology. He develops and applies novel computational methods that integrate genetic and functional genomic data to understand complex diseases\, specifically cancer progression\, childhood neurodevelopment\, and other developmental traits.
URL:https://www.med.unc.edu/compmed/event/faculty-candidate-seminar-9/
LOCATION:Lineberger Pagano Conference Room\, 450 West Drive\, Chapel Hill\, 27599\, United States
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2023/01/Arjun-headshot.jpg
ORGANIZER;CN="Victoria Doyle":MAILTO:vdoyle@email.unc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230106T100000
DTEND;TZID=America/New_York:20230106T110000
DTSTAMP:20260403T140919
CREATED:20230102T174545Z
LAST-MODIFIED:20230102T174545Z
UID:10000348-1672999200-1673002800@www.med.unc.edu
SUMMARY:CompMed Research in Progress
DESCRIPTION:Presenter: Timothy Qi \nTalk Title: Apex predators in anti-tumor immunity
URL:https://www.med.unc.edu/compmed/event/compmed-research-in-progress-33/
LOCATION:NC
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2023/01/Timothy-Qi.jpg
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:20260403T140919
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:20230112T140000
DTEND;TZID=America/New_York:20230112T150000
DTSTAMP:20260403T140919
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:20230113T100000
DTEND;TZID=America/New_York:20230113T110000
DTSTAMP:20260403T140919
CREATED:20230102T180718Z
LAST-MODIFIED:20230102T180848Z
UID:10000350-1673604000-1673607600@www.med.unc.edu
SUMMARY:No Meeting - Research in Progress
DESCRIPTION:In honor of Martin Luther King Jr. Day on Monday\, no meeting today.
URL:https://www.med.unc.edu/compmed/event/no-meeting-research-in-progress/
LOCATION:NC
ORGANIZER;CN="Victoria Doyle":MAILTO:vdoyle@email.unc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230117T160000
DTEND;TZID=America/New_York:20230117T170000
DTSTAMP:20260403T140919
CREATED:20220921T201121Z
LAST-MODIFIED:20230110T142312Z
UID:10000336-1673971200-1673974800@www.med.unc.edu
SUMMARY:Faculty Candidate Seminar
DESCRIPTION:Presenter: Christopher Park \nSimons Foundation\, Flatiron Institute\, New York \nCenter for Computational Biology \nTalk Title: The impact of RNA-binding protein dysregulation on psychiatric disorder risk \n  \nChristopher Park is a Flatiron Research Scientist at the Flatiron Institute\, a research division of the Simons Foundation. Christopher’s background is at the intersection of computational biology\, human genetics and RNA neurobiology\, focusing on elucidating the pathogenic mechanisms that connect genetic risk to psychiatric disorders. Christopher also holds a research interest in health conditions that intersect with the endocrine system. \nPrior to joining the Simons Foundation\, Christopher was a postdoctoral researcher in the laboratory of Dr. Robert Darnell at Rockefeller University and the New York Genome Center. He completed his Ph.D. training at Princeton University with Dr. Olga Troyanskaya. In addition to his Ph.D.\, Christopher holds a B.S. in Biochemistry and Computer Science from the University of Washington\, Seattle\, where he also worked with Dr. William Stafford Noble tackling problems related to proteomics.
URL:https://www.med.unc.edu/compmed/event/compmed-seminar-8/
LOCATION:NC
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2022/09/Christopher_Park-scaled.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:20260403T140919
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:20230120T100000
DTEND;TZID=America/New_York:20230120T110000
DTSTAMP:20260403T140919
CREATED:20230110T145019Z
LAST-MODIFIED:20230110T145019Z
UID:10000356-1674208800-1674212400@www.med.unc.edu
SUMMARY:CompMed Research in Progress
DESCRIPTION:Presenter: Xiaoqi Li (Yun Li Lab) \nTalk Title: “VAE-PRS: A deep learning based approach to compute polygenic risk score”
URL:https://www.med.unc.edu/compmed/event/compmed-research-in-progress-34/
LOCATION:Mary Ellen Jones 3112\, 116 Manning Drive\, Chapel Hill\, NC\, 27514
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2023/01/Xiaoqi.jpeg
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:20260403T140919
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:20230126T140000
DTEND;TZID=America/New_York:20230126T150000
DTSTAMP:20260403T140919
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:20230202T140000
DTEND;TZID=America/New_York:20230202T150000
DTSTAMP:20260403T140919
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:20230203T100000
DTEND;TZID=America/New_York:20230203T110000
DTSTAMP:20260403T140919
CREATED:20230221T161808Z
LAST-MODIFIED:20230221T161808Z
UID:10000360-1675418400-1675422000@www.med.unc.edu
SUMMARY:CompMed Research in Progress
DESCRIPTION:Presenter Peyton Kuhlers (Hoadley Lab) \nTalk Title: “Repeatability of Gene Expression between Patient Matched Tissue and Tissue Models”
URL:https://www.med.unc.edu/compmed/event/compmed-research-in-progress-35/
LOCATION:Mary Ellen Jones 3112\, 116 Manning Drive\, Chapel Hill\, NC\, 27514
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2023/02/Peyton-Charles-Kuhlers-scaled.jpg
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:20260403T140919
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
END:VCALENDAR