Mohammad Akbarpour is an applied theorist whose research is focused on designing market institutions. He studies dynamic markets and networked markets—or combinations thereof—with applications in over-the-counter financial markets, kidney exchange pools, and online matching platforms. When resource allocation problems are computationally complex, as they often are in networked settings, he exploits tools from theoretical computer science to identify “good enough”, rather than the optimal, policies.
He will spend a year at the institute as a research fellow, deepening and broadening his research. He will begin his position as an assistant professor of economics at Stanford University Graduate School of Business in the summer of 2016. Akbarpour received his PhD in economics at Stanford University in 2015. He graduated from Sharif University of Technology in Iran with a B.Sc. in electrical engineering.
In 2015, Akbarpour was invited to the Review of Economic Studies Tour, an award given to the most promising graduating doctoral students of economics and finance in the world. He will rejoin the tour in 2016.
As a graduate student at Stanford, he was the recipient of the B.F. Haley and E.S. Shaw Fellowship for Economics in 2014-2015, as well as the Sean Buckley Memorial Award for the best second-year paper in 2012–2013.
He has held research intern positions at Auctionomics, where he modeled and developed bidding strategies for spectrum auctions, and at Microsoft Research, where he worked on redesigning the sponsored-search ad-auctions for the Bing search engine. He has also been an instructor at Khan Academy Farsi, teaching hundreds of video-lectures in game theory, physics, calculus, and macroeconomics.