Farrokh Alemi was trained as an operations researcher and industrial engineer and has worked in both academia and health industry. He maintains patents on (1) sentiment analysis, (2) measurement of episodes of illness and (3) personalized medicine. He has more than 105 peer reviewed publications in journals such as Health Services Research, Medical Care, and Palliative Medicine. 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. His publications have contributed to predictive medicine, precision medicine, comparative effectiveness of medications, sentiment analysis, natural language processing, risk adjusted analysis of cost effectiveness, causal networked models, identifying trajectories of diseases, and predicting prognosis of patients with multiple morbidities. Dr. Alemi is the author of the widely used Multi-Morbidity index. He has worked with diverse groups of patients including children, nursing home residents and patients with diabetes, major depression, heart failure, anemia, hypertension, trauma, drug abuse, and other diseases. In addition, Dr. Alemi was a pioneer in online management of patients and has provided Congressional testimony on role of Internet in health delivery. He is the author of a book on decision analysis and another on policy systems and a third on application of process improvement to personal health. A fourth book, on causal statistical analysis, is forthcoming in 2018.
- PhD, Industrial and Systems Engineering, University of Wisconsin, Madison
- MS, University of Wisconsin, Madison
- BS, University of Wisconsin, Madison