Day of Data 2016 Spring Discussion Series: Outcome Defined Organization of Patient Profiles

25 April 2016 - 11:48am by Rolando Garcia-Milian

The Day of Data 2016 Spring Discussion Series will feature Dr. Alexander Cloninger. Dr. Cloninger has active applied collaborations with medical researchers at the Center for Outcomes Research and Evaluation at Yale and the National Institutes of Health. His current research deals with defining and analyzing patient similarity for the purposes of clustering and outcome prediction.

  • Thursday, May 5, 2016
  • 1:30 – 3:00 pm
  • Sterling Memorial Library Lecture Hall

Alex Cloninger is a Gibbs Assistant Professor in the Applied Mathematics Program at Yale, where he as been since 2014. He completed his Ph.D. at University of Maryland as a member of the Norbert Wiener Center for Harmonic Analysis, and his undergrad at Washington University in St. Louis. His research interests lie in the areas of machine learning and diffusion geometry, ranging from theory to implementation and data processing, with a focus on developing novel algorithms to work with medical data.

Yale Center for Research Computing
Yale Institution for Social and Policy Studies
Yale University Library
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