معرفی
Mohammad Akbarpour is an Associate Professor of Economics at Stanford University's Graduate School of Business, with a courtesy appointment as Professor of Computer Science in the School of Engineering. His academic work bridges economics and computer science, focusing on computationally complex economic problems.
Professor Akbarpour's research centers on market design, redistributive mechanisms, and network theory. He frequently employs computational tools from computer science to address challenging economic questions. His work spans auction theory, matching markets, organ exchange systems, vaccine allocation frameworks, and pandemic policy response. He has made significant contributions to understanding how markets can balance efficiency with redistribution in contexts like kidney exchange, school choice, and energy crises.
His publication record demonstrates consistent application of theoretical economic frameworks to real-world problems. Many papers appear in top economics journals including Econometrica, Journal of Political Economy, and Quarterly Journal of Economics, addressing how market mechanisms can solve problems in healthcare, education, and public policy. His work on credible auctions and market design has received significant recognition in the field.
- Best Paper Award at the Conference on Economics and Computation (EC'18)
- Featured in Quartz's list of '12 economics research that shaped our world in 2018'
- Lead Article in the Journal of Political Economy for 'Thickness and Information in Dynamic Matching Markets'
Professor Akbarpour has collaborated extensively with leading economists including Scott Kominers, Piotr Dworczak, Shengwu Li, and Alvin Roth. His interdisciplinary approach combines economic theory with computational methods to address pressing societal challenges, particularly in healthcare markets and pandemic response. He has contributed to public discourse through media appearances discussing kidney transplantation policy, auction design, and pandemic reopening strategies.
