Mehdi Najafzadeh PhD, MSc, MA, is an Instructor in Medicine at Harvard Medical School and an associate epidemiologist in the Division of Pharmacoepidemiology and Phamacoeconomics at the Brigham and Women’s Hospital.
He is interested in methods for bridging the gap between randomized and non-randomized data sources in medical research. Dr. Najafzadeh leads “Predictive modeling, Evidence integration, and Decision analysis In Clinical Therapeutics (PREDICT)” work group in the Division with focus on developing methods that can inform regulatory and clinical decisions related to newly marketed medications. As part of this initiative, he leads a project for linking randomized clinical trial data and routinely collected electronic data for improving methods for evidence generation. He has also developed a simulation-based approach for generalizing randomized clinical trial results to target routine care populations.
Dr. Najafzadeh has experience in modeling and simulation (discrete event simulation, systems dynamic, Markov models), preference elicitation techniques (discrete choice experiments and best-worst scaling experiments), and health-related quality of life measures and has led numerous benefit-risk analyses, cost-effectiveness analyses, and choice experiments over the years.
He received his doctorate in health economics from the University of British Columbia (UBC), Vancouver, and then completed a post-doctoral fellowship at Harvard Medical School. He has an MA in Economics from UBC, an M.Sc. in Socio-Economic Systems, and B.Sc. in Electrical Engineering from Sharif University of Technology, Tehran.