BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Computational Medicine - ECPv6.15.18//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: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:20230202T140000
DTEND;TZID=America/New_York:20230202T150000
DTSTAMP:20260526T072720
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
END:VCALENDAR