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April 19 Dr Martin Paulus Inga Taylor Lecture

Dr. Inga Taylor was born in Washington, D.C. on December 28, 1943 to Karin G. and Rufus L. Taylor, Jr. After receiving her Bachelor’s degree from the University of Maryland, she went on to study at the Medical University of South Carolina, where she would earn her M.D. Dr. Taylor served a three year residency at the university, during which her final year, was named Chief Resident and Teaching Fellow. She was appointed to the faculty of the Department of Psychiatry and Behavioral Sciences in 1975, becoming a highly active member of the faculty. Dr. Taylor was involved in college of medicine and departmental committee work, in community and education service, and in church work. She was also a Diplomate of the American Board of Psychiatry and Neurology, and by 1980 had risen to the academic rank of Associate Professor. In 1971, she married Kenneth M. Klyce, and they had a daughter, Karin. H. Klyce, in 1973. Dr. Taylor successfully combined a productive career in medicine with her life as a wife and mother, and with her active involvement and interests in her church, her community, and the arts. Although she passed at the age of thirty-six to cancer, Dr. Taylor is remembered for living an energetic and productive life. Her energy made her a person who was both effective in her personal and professional spheres and unfailingly stimulating to those who knew her.

Join us as we host Dr. Martin Paulus. Computational psychiatry is a burgeoning field that utilizes mathematical approaches to investigate psychiatric disorders, derive quantitative predictions, and integrate data across multiple levels of description. Three examples of computational approaches will be presented. First, a simple computational model for anxiety will be reviewed that focuses on the reduced ability of anxious individuals to adjust their learning rate as a function of volatility. Second, a Bayesian Decision-Making model will be presented that can be used to predict the propensity of methamphetamine dependent individuals to relapse. Third, a multi­level Bayesian Group Factor Analysis approach will be used to show how multiple variables can be used to relate media behavior in youth to brain development. Taken together, these examples serve as a template to make progress in using computational approaches to make clinically relevant predictions and to deepen our understanding of the underlying neural processes.

 

Unable to attend in person? Register for our live stream.
Go to: https://musc.webex.com
Once the host approves your registration, you will receive a
confirmation email with instructions for joining the session.

Regardless of if you have been approved for Psychiatry Grand Rounds previously, you will need to RSVP by clicking here or the link below. Once you have completed the form, WebEx will send instructions on how to access the streamed lecture on Friday to the email address you provide on the RSVP. Please save that email to reference on Friday, as we will not be able to resend. Our team does not have the option to manually add any attendees once WebEx registration closes at 9:00 a.m. on Friday. If you have not RSVP’ed for the session, you will not be sent a login and will not be able to stream. Attendance will be recorded and CME/CE credit will be granted for viewing the entire session as long as the participant has attended the whole hour and the RSVP form has been submitted by 9:00 a.m. Friday and approved for Friday’s session.

WebEx Registration Link: https://musc.webex.com/musc/k2/j.php?MTID=t9689d251630017e4e2475636d18333a3