Mohammad Jalali ('MJ'), PhD, MSc

Institute for Technology Assessment, Mass General Research Institute
addiction; alcohol and other drug use disorders; cost-effectiveness analysis; data science; decision analysis; health policy; opioids; simulation; simulation modeling; substance abuse Mohammad Jalali (aka, ‘MJ’) is an Assistant Professor at Harvard Medical School and a research affiliate with MIT Sloan's System Dynamics Group. Based at MGH Institute for Technology Assessment, MJ uses data science and simulation-based approaches to help policymakers identify and develop high-leverage policies that not only are effective over the long haul, but also are not thwarted by unanticipated side effects. To achieve this goal, he spends a great deal of time working with decision-makers and policymakers, doing fieldwork and collecting different types of data that can inform richer models and analyses. MJ’s work has been featured by media outlets, including The New York Times, Washington Post, Associated Press, The Hill, WIRED, Newsweek, Scientific American, Business Insider, Boston Globe, NPR, among others. He has been a reviewer for the National Science Foundation, an associate editor for System Dynamics Review, academic editor for PLOS ONE, and editor for the Journal on Policy and Complex Systems. He is the recipient of the 2015 Dana Meadows Award, the 2015 WINFORMS Excellence Award, and the 2014 Lupina Young Researcher Award. Before joining Harvard in Feb 2019, MJ was a research faculty at MIT Sloan and a consultant at the World Bank.