Michael J.

Michael J. is a seasoned data scientist with extensive experience in various roles within the data science and research domain, currently serving as Principal Data Scientist at Well since May 2022. Michael has a track record of leading end-to-end data science projects, employing causal inference methods, and maintaining data infrastructure. Previous roles include Senior Data Scientist at AbleTo Inc., where legacy models were rebuilt for behavioral health interventions, and Data Scientist at HelloFresh, focusing on forecasting and marketing mix models. Michael's earlier career includes significant positions at Annalect, MDRC, and the New York City Department of Health and Mental Hygiene, where major program evaluations and epidemiology studies were designed and executed. Academic credentials include a Ph.D. in Social Psychology from the University of Arizona, a Master's in Experimental Psychology from the University of Colorado, and a BA in Psychology from the University of California, Santa Cruz.