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X-WR-CALDESC:Events for Computational Medicine
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DTSTART;TZID=America/New_York:20240118T140000
DTEND;TZID=America/New_York:20240118T150000
DTSTAMP:20260413T231539
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:20260413T231539
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:20260413T231539
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:20260413T231539
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:20260413T231539
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:20260413T231539
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:20260413T231539
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:20260413T231539
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:20260413T231539
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:20260413T231539
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:20260413T231539
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:20260413T231539
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:20260413T231539
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:20260413T231539
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:20260413T231539
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
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20191010T140000
DTEND;TZID=America/New_York:20191010T150000
DTSTAMP:20260413T231539
CREATED:20190903T201600Z
LAST-MODIFIED:20191010T175016Z
UID:10000234-1570716000-1570719600@www.med.unc.edu
SUMMARY:Computational Medicine Seminar
DESCRIPTION:Presenter: Wesley Legant \nTalk Title: “From Molecules to Organisms: Pushing the limits of Fluorescence Microscopy” \n 
URL:https://www.med.unc.edu/compmed/event/computational-medicine-seminar/
LOCATION:Bioinformatics Building\, Room 1131\, 130 Mason Farm Rd\, Chapel Hill\, NC\, 27514\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190919T090000
DTEND;TZID=America/New_York:20190919T163000
DTSTAMP:20260413T231539
CREATED:20180925T142949Z
LAST-MODIFIED:20190916T220915Z
UID:10000181-1568883600-1568910600@www.med.unc.edu
SUMMARY:Computational Medicine Program's First Symposium
DESCRIPTION:Featured Speakers\n \nElaine Mardis\, PhD\nNationwide Children’s Hospital\nElaine Mardis\, PhD\, is co-Executive Director of the Institute for Genomic Medicine at Nationwide Children’s Hospital and the Nationwide Foundation Endowed Chair in Genomic Medicine. She also is Professor of Pediatrics at The Ohio State University College of Medicine. Dr. Mardis joined Nationwide Children’s Hospital in 2016. \nEducated at the University of Oklahoma with a B.S. in Zoology and a Ph.D. in Chemistry and Biochemistry\, Dr. Mardis did postgraduate work in industry at BioRad Laboratories. She was a member of the faculty of Washington University School of Medicine from 1993-2016. Dr. Mardis has authored over 350 articles in prestigious peer-reviewed journals and has written book chapters for several medical textbooks. She serves as an associate editor for three peer-reviewed journals (Disease Models and Mechanisms\, Molecular Cancer Research\, and Annals of Oncology) and is Editor-in-Chief of Molecular Case Studies\, published by Cold Spring Harbor Press. Dr. Mardis has given lectures at scientific meetings worldwide\, and was awarded the Morton K Schwartz award from the American Association for Clinical Chemistry in 2016. She has been listed since 2013 as one of the most highly cited researchers in the world by Thompson Reuters. Dr. Mardis has been a member of the American Association for Cancer Research (AACR) since 2007\, was the program committee chair for the 2018 AACR Annual Meeting\, and is the AACR President-elect. \n  \n \nTrey Ideker\, PhD\nUniversity of California San Diego\nDr. Ideker is a Professor of Medicine at UC San Diego. He is the Director of the National Resource for Network Biology\, the San Diego Center for Systems Biology\, and the Cancer Cell Map Initiative. He is a pioneer in using genome-scale measurements to construct network models of cellular processes and disease. The Ideker Lab is working to create artificially intelligent models of cancer and other diseases for translation of patient data to precision diagnosis and treatment. \n  \n \nMichael Yaffe\, MD\, PhD\nMassachusetts Institute of Technology\nProfessor Yaffe is the David H. Koch Professor of Science and Professor of Biology and Biological Engineering at MIT\, where he has been a faculty member since 2000; he is also an attending trauma surgeon at the Beth Israel Deaconess Medical Center. Yaffe earned his doctoral degree in biophysical chemistry and his medical degree from Case Western Reserve University. He completed residencies in both general surgery and surgical oncology\, at University Hospitals of Cleveland and New England Deaconess Hospital\, respectively\, and a fellowship in surgical critical care at Harvard Medical School’s Harvard-Longwood Critical Care Program. He was a postdoctoral fellow with Lewis Cantley in the Department of Cell Biology at Harvard Medical School. In recognition of his accomplishments\, he received the Howard Hughes Physician Scientist Award\, the Burroughs Wellcome Career Development Award\, and the MIT Science Teaching Prize. A founder of Consensus Pharmaceuticals\, the DNA Repair Company\, and Merrimack Pharmaceuticals\, Professor Yaffe is also the Chief Scientific Editor of Science Signaling. He serves as a Colonel in the U.S. Army Reserve Medical Corps and in 2015 received the Bronze Star Medal from the U.S. Army for his service as a trauma surgeon on active duty in Afghanistan. In 2017\, Yaffe became the inaugural scientific director of the MIT Center for Precision Cancer Medicine. \n  \n  \n \nAnne-Lisa Borresen-Dale\, PhD\nOslo University Hospital\nAnne-Lise Børresen-Dale is Professor Emerita at University of Oslo and previous head of Department of Cancer Genetics\, Oslo University Hospital Radiumhospitalet. She is among the leading geneticists in research on molecular biology of breast cancer\, and her group was among the pioneers in expression profiling of breast carcinomas in collabora¬tion with groups at Stanford\, demonstrating that breast cancer can be divided into distinct sub-groups with differences in molecular profiles and in overall and relapse-free survival. Her achievements are seminal for understanding breast cancer evolution\, and have had an enormous impact on our view of the complexity of breast cancer. She is author of more than 600 published scientific papers\, books chapters and invited reviews. \n  \n  \n \nAndrea Califano\, Dr.\nColumbia University Medical Center\nAndrea Califano is the Clyde and Helen Wu Professor of Chemical and Systems Biology at Columbia University Medical Center. He is the Founding Chair of the Department of Systems Biology\, Director of the JP Sulzberger Columbia Genome Center\, and Associate Director for Bioinformatics of the Herbert Irving Comprehensive Cancer Center\, and also holds appointments in the Department of Biochemistry & Molecular Biophysics and Department of Biomedical Informatics. He is a member of the National Academy of Medicine and a fellow of the ISCB\, AAAS\, and IEEE. The Califano Lab uses a combination of computational and experimental methodologies to reconstruct the regulatory logic of human cells in genome-wide fashion to identify master regulator proteins responsible for human disease\, including cancer and neurodegenerative syndromes. \n  \n  \n \nPeter Sorger\, PhD\nHarvard Medical School\nPeter received his AB from Harvard College\, PhD from Trinity College\, Cambridge University U.K.\, under the supervision of Hugh Pelham and trained as a postdoctoral fellow at the University of California\, San Francisco with Harold Varmus and Andrew Murray. Prior to coming to HMS Peter served as a Professor of Biology and Biological Engineering at MIT. \nPeter’s research focuses on the systems biology of signal transduction networks controlling cell proliferation and death\, the dysregulation of these networks in cancer and inflammatory diseases and the mechanisms of action of therapeutic drugs targeting signaling proteins. His group uses mathematical and experimental approaches to construct and test computational models of signaling in human and murine cells as a means to understand and eventually predict the responses of cells and tumors to drugs applied individually and in combination. The Sorger group also develops open-source software for analyzing biological networks and it participates in multiple collaborative programs working to improve data reproducibility. \nAs founding head of the Harvard Program in Therapeutic Sciences (HiTS)\, Peter leads a university-wide effort to advance the basic and translational science used to develop new medicines\, identify responsive patients and evaluate new drugs via precision clinical trials. He also directs the primary research program in HiTS\, the Laboratory of Systems Pharmacology\, which joins together faculty members from six institutions in a multi-disciplinary effort to develop and apply new concepts in drug discovery. Peter was a co-founder of Merrimack Pharmaceuticals and Glencoe Software and is an adviser to multiple public and private companies and research institutes in the US\, Europe\, and Japan. \n  \n \nJeremy Purvis\, PhD\nUniversity of North Carolina\nJeremy Purvis is an Associate Professor of Genetics at the University of North Carolina at Chapel Hill\, where he serves as a member of the Lineberger Comprehensive Cancer Center\, the Curriculum for Bioinformatics and Computational Biology\, and the Computational Medicine Program. He received a Ph.D. in Genomics and Computational Biology at the University of Pennsylvania under the mentorship of Scott Diamond and Ravi Radhakrishnan. He then trained under Galit Lahav at Harvard Medical School\, where he studied the functional role of p53 dynamics by blending computational modeling and single-cell imaging. In 2013\, he established his independent research group at UNC\, which focuses on building computational models of cell cycle progression and early cell fate decisions during human development. Dr. Purvis is the recipient of a CAREER Award from the National Science Foundation\, the NIH Director’s New Innovator Award\, and a Medical Research Award from the W. M. Keck Foundation.\n\nThank you to our symposium sponsors\n                                     \n\n\nParking\n \nPlease be aware there is road construction on West Drive and visitors parking is available at Dogwood Deck at an hourly rate. \nRoad Construction Map
URL:https://www.med.unc.edu/compmed/event/symposium-on-computational-medicine/
LOCATION:Bioinformatics Building\, Room 1131\, 130 Mason Farm Rd\, Chapel Hill\, NC\, 27514\, United States
CATEGORIES:Symposium
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DTSTART;TZID=America/New_York:20190509T140000
DTEND;TZID=America/New_York:20190509T150000
DTSTAMP:20260413T231539
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
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