Mehdi Najafzadeh PhD, MSc, MA, is an Assistant Professor of Medicine at Harvard Medical School and a decision scientist in the Division of Pharmacoepidemiology and Phamacoeconomics at the Brigham and Women’s Hospital.
Dr. Najafzadeh leads “PREdictive modeling and Decision analysis In Clinical Therapeutics (PREDICT)” work group in the Division. His current research focused on methods for bridging the gap between randomized and non-randomized data sources in medical research, with particular focus on early post-approval phase. As part of this initiative, he leads a FDA funded project to demonstrate the benefits of linking traditional randomized clinical trials (RCTs) to real-world data (RWD) as a low-cost, high-yield strategy that could enhance the design of future RCTs. He is also working on developing methods that can be used for generalizing RCT results to larger target 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 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 completed post-doctoral fellowships 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.