Farrokh Alemi, Ph.D. is the Professor of Health Informatics at George Mason University Department of Health Administration and Policy.  He was trained as an industrial engineer and has worked in both academia and health industry. His research focuses on causal analysis of massive data available in electronic health records. This research has required balancing of data to estimate causal impact of interventions. He is the author of Stratified Covariate Balancing method, a procedure for causal analysis of observational data.  His publications have contributed to predictive medicine, precision medicine, comparative effectiveness of medications, sentiment analysis, natural language processing, risk adjusted cost effectiveness, causal networked models, identifying trajectories of diseases, and predicting prognosis of patients with multiple morbidities. He has more than 115 peer reviewed publications. He is the author of a book on decision analysis, another on policy systems, and a third on application of process improvement to personal health. A fourth book, on analysis of big data is forthcoming in 2020.  Dr. Alemi was a pioneer in online management of patients and has provided testimony to U.S. Congress on role of Internet in health delivery.

Farrokh Alemi is a 2019 grantee of the Robert Wood Johnson Foundation's Health Data for Action program, managed by AcademyHealth.