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DTSTART;TZID=America/Chicago:20180720T110000
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DTSTAMP:20260526T030001
CREATED:20180628T150859Z
LAST-MODIFIED:20180628T150859Z
UID:2872-1532084400-1532088000@www.psychiatry.wisc.edu
SUMMARY:“Towards Computational Phenotypes in Psychiatry” - Amy L. Cochran\, PhD
DESCRIPTION:“Towards Computational Phenotypes in Psychiatry” \nAmy L. Cochran\, PhD\nResearch Associate\nBiostatistics and Medical Informatics\nUniversity of Wisconsin \n\nFriday July 20th – 11 AM – 12 noon\nWISPIC Commons Room \n\n  \n \nAmy L. Cochran\, Ph.D completed her Ph.D. in Applied Mathematics from Cornell University in 2013 and was a T.H. Hildebrandt Research Assistant Professor in the Mathematics Department at the University of Michigan. She is now a NIMH K01 awardee in Biostatistics and Medical Informatics at the University of Wisconsin. Her research interests lie at the intersection of mathematics and psychiatry. She relies on a broad suite of applied math techniques\, such as modeling\, simulation\, and statistics\, to tackle problems in psychiatry. She is interested in describing (precisely with mathematics) mood changes on an individual patient basis. She hopes that this information can lead to personalized treatment of bipolar disorder which accounts for a patient’s unique illness course. Her most recent project looks to systematically determine basic principles of how mood changes in bipolar I patients\, e.g. whether mood fluctuates rhythmically. Future work aims to use smart-phone technology and mathematics to track mood in bipolar patients more precisely and in real time. Amy is one of three editors of the book Computational Neurology and Psychiatry.
URL:https://www.psychiatry.wisc.edu/event/towards-computational-phenotypes-in-psychiatry-amy-l-cochran-phd/
LOCATION:Webex
ORGANIZER;CN="Zachary Stowe%2C MD":MAILTO:zstowe@wisc.edu
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