Thursday, April 17, 2025

Mohammad S. Jalali

1 POSTS 0 COMMENTS
Mohammad Jalali (also known as 'MJ') is a research faculty at MIT Sloan School of Management. MJ is interested in simulation and model estimation methodologies, and the applications of dynamic modeling for complex sociotechnical problems. In shaping his research trajectory, MJ follows three goals. First, he conducts research that has an impact in the real world. Second, he focuses his simulation modeling work on mechanisms that connect human decision making to technological and economic systems, because that is where many important policy-resistant problems lie. Finally, he wants his research to rigorously connect mechanism-based models with big data. To achieve these goals, he builds bridges across methodological and application domains. MJ is a former consultant at the World Bank and a former researcher at the U.S. Department of Energy. He is also the recipient of the 2015 Dana Meadows Award, the 2015 WINFORMS Student Excellence Award, and the 2014 Lupina Young Researcher Award. For more information, check out MJ’s website at: Jalali.mit.edu.

POPULAR

It’s time for ‘unified groups’ to declare war against Trump’s unscrupulous retribution schemes

They must use all the innovative techniques that they have to take down Trump before he turns them into his slaves, and America into a fascist state.

Democrats push to ban congressional stock trading amid tariff-triggered market scandal

Lawmakers intensify calls to outlaw stock trades by members of Congress following Trump’s tariff reversal and suspicious GOP investments.

An Indian drugmaker, investigated by ProPublica last year, has recalled two dozen medications sold...

FDA inspectors found serious problems at a Glenmark factory in India that manufactured the recalled drugs.

Trump may be blowing the economy up on purpose

Working-class Americans should view a purposefully engineered recession as blatant aggression by the ownership class.

New study finds CT scans to account for 5 percent of cancer diagnoses

While some experts caution against CT scans, many believe the modeling used in this study left much uncertainty.