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X-ORIGINAL-URL:https://www.med.unc.edu/compmed
X-WR-CALDESC:Events for Computational Medicine
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DTSTART;TZID=America/New_York:20230202T140000
DTEND;TZID=America/New_York:20230202T150000
DTSTAMP:20260618T100725
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:20260618T100725
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:20260618T100725
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:20230210T100000
DTEND;TZID=America/New_York:20230210T110000
DTSTAMP:20260618T100725
CREATED:20230221T161906Z
LAST-MODIFIED:20230221T161906Z
UID:10000361-1676023200-1676026800@www.med.unc.edu
SUMMARY:Canceled - CompMed Research in Progress
DESCRIPTION:
URL:https://www.med.unc.edu/compmed/event/canceled-compmed-research-in-progress-2/
LOCATION:NC
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230214T160000
DTEND;TZID=America/New_York:20230214T170000
DTSTAMP:20260618T100725
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:20230217T100000
DTEND;TZID=America/New_York:20230217T110000
DTSTAMP:20260618T100725
CREATED:20230221T162048Z
LAST-MODIFIED:20230221T162116Z
UID:10000362-1676628000-1676631600@www.med.unc.edu
SUMMARY:Canceled - CompMed Research in Progress
DESCRIPTION:Holiday weekend and Monday is Mental Health Day. \nEnjoy your weekend
URL:https://www.med.unc.edu/compmed/event/canceled-compmed-research-in-progress-3/
LOCATION:NC
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230228T140000
DTEND;TZID=America/New_York:20230228T150000
DTSTAMP:20260618T100725
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
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