Data Science Day @ Columbia University has ended
Columbia University’s Data Science Institute Presents:

Authors/Collaborators are listed in alphabetical order.

avatar for Adler Perotte

Adler Perotte

College of Physicians and Surgeons
Associate Research Scientist in Biomedical Informatics
Dr. Adler Perotte is an Associate Research Scientist in the Department of Biomedical Informatics. Dr. Perotte’s primary research area is the development and application of statistical machine learning methods, including probabilistic graphical models for biomedical informatics. Dr. Perotte’s research interests are both in the development of novel methodology with broad applicability across domains and the application of such methodology toward solving biomedical problems. Specific areas of interest include probabilistic phenotyping, probabilistic risk assessment, time series modeling, and statistical natural language processing.

Dr. Perotte is also the faculty advisor to the Health Tech Assembly, a group for students and faculty from the medical, engineering, and business schools at Columbia designed to foster the conception and translation of solutions to biomedical problems through entrepreneurship.

Prior to joining the department in this capacity, Dr. Perotte was an NLM Postdoctoral Fellow in Biomedical Informatics at Columbia University. Before that, Dr. Perotte worked as a Research Specialist between Princeton’s Computational Memory and Artificial Intelligence laboratories studying probabilistic models of memory. While earning his MD from Columbia University, Dr. Perotte interned with Columbia’s technology transfer office to evaluate promising university technology for commercial potential. Dr. Perotte also earned an MA from Columbia University and A.B. from Princeton University.