Jamie Morgenstern

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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]

References

  1. 1 2 Malone, Tess (4 September 2018), Jamie Morgenstern Wants to Bring Fairness to Machine Learning, Georgia Tech College of Computing, retrieved 2025-06-25
  2. 1 2 Osborne, Kristin (16 August 2019), "Allen School's latest faculty additions will strengthen UW's leadership in robotics, machine learning, human-computer interaction, and more", Allen School News, University of Washington Paul G. Allen School of Computer Science and Engineering, retrieved 2025-06-25
  3. ↑ Allen School Faculty, University of Washington Paul G. Allen School of Computer Science and Engineering, retrieved 2025-06-25
  4. 1 2 3 Curriculum vitae (PDF), 2018, retrieved 2025-06-25
  5. ↑ Jamie Morgenstern at the Mathematics Genealogy Project
  6. ↑ "Jamie Morgenstern", New faculty members, University of Washington Engineering, 2019, retrieved 2025-06-25
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