Harvard Medical School
Mohammad Jalali (aka, ‘MJ’) is an Assistant Professor at Harvard Medical School. Based at MGH Institute for Technology Assessment, MJ’s main area of research is at the intersection of data science and simulation modeling to inform policy and decision-making. He was previously a research faculty at MIT Sloan School of Management and a consultant at the World Bank.
MJ conducts data-driven and methodological research to address the following questions: Why do many health policies fail to produce lasting results or create results counter to their goals? How can data analytics and systems science help develop more effective policies? In particular, MJ’s approach to addressing these questions is two-fold. First, he uses analytical 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. Second, he develops and applies novel analytical methodologies to health policy issues, complementing his phenomenological research with methodological contributions that build bridges across methodological and application domains.
MJ has used data science methods and developed simulation models for obesity, opioids, post-traumatic stress disorder, and depression. His other areas of modeling include the diffusion of medical technologies, drug-shortages in pharmaceutical supply chains, and organizational cybersecurity in health care. His work has been featured by The New York Times, Washington Post, Associated Press, The Hill, WIRED, Newsweek, Scientific American, Business Insider, Boston Globe, NPR, among others.