Alexandre Yahi is a PhD candidate in the Department of Biomedical Informatics at Columbia University, in the Tatonetti Lab. His research focuses on modeling drug perturbations on laboratory test time series for drug safety. He develops deep multi-modal representations of laboratory test time series, builds generative adversarial networks models and defines their associated evaluation metrics. Past and present projects include high-throughput clinical phenotyping, hospital readmission prediction, and the design of sequence alignment and analysis tools for the New York Genome Center. He received a Master of Science in Electrical and Computer Engineering from the Georgia Institute of Technology and a Master’s degree in Engineering from CentraleSupelec in France.
PhD in Biomedical Informatics, 2019
MS in Electrical and Computer Engineering, 2015
Georgia Institute of Technology
MS in Engineering, 2014
Supelec, France (now CentraleSupelec)