Jamie Morgenstern
From Wikipedia, the free encyclopedia
Jamie Heather Morgenstern is an American computer scientist specializing in fairness in machine learning and algorithmic game theory.[1][2] She is an associate professor in the Paul G. Allen School of Computer Science and Engineering at the University of Washington.[3]
Morgenstern was an undergraduate at the University of Chicago, where in 2010 she received a double bachelor's degree in computer science and mathematics. She went to Carnegie Mellon University for doctoral study in computer science, supervised by Avrim Blum, received a master's degree in 2012, and completed her Ph.D. in 2015.[4] Her dissertation was Market Algorithms: Incentives, Learning, and Privacy.[5]
After postdoctoral research as a Warren Fellow of Computer Science and Economics at the University of Pennsylvania,[4] Morgenstern became an assistant professor of computer science at Georgia Tech in 2018.[1][4] She moved to the University of Washington in 2019.[2][6]