Farrokh Alemi was trained as an operations researcher and industrial engineer and has worked in both academia and health industry. He has more than 120 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 has worked on depression, substance abuse, suicide, and COVID-19. 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 3 books, including a book on ‘Big Data: Statistical Analysis of Electronic Health Records.’ During the Fulbright, Dr. Alemi will work on the difference of Irish and American antidepressant prescription patterns.