Sensors Expo 2016

Alder Perotte
Assistant Professor
Columbia University


Dr. Adler Perotte is an Assistant Professor in the Department of Biomedical Informatics. Dr. Perotte’s primary research areas are Bayesian inference and prediction based on electronic health record data and metabolomics. My research interests are both in the development of novel statistical machine learning methods with broad applicability across domains and the use of such methods towards solving biomedical problems. Specific areas of interest include probabilistic phenotyping, statistical natural language processing, time series modeling, cohort selection, causal inference and analysis of high frequency monitoring data.

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