Scholar
Jamie Morgenstern
Google Scholar ID: t0ZfFH8AAAAJ
University of Washington
Citations & Impact
Citations
7,759
H-index
31
i10-index
49
Publications
20
Co-authors
47
list available
Contact
Publications
Cited
0
Resume (English only)
Academic Achievements
- Published several papers including 'Initializing services in interactive ml systems for diverse users' in NeurIPS 2024, co-authored white papers 'Facial Recognition Technologies in the Wild: A Call for a Federal Office' and 'Committee for the Study of Digital Platforms, Market Structure and Antitrust Subcommittee Report'. Current research is supported by an NSF Career award and a Simons collaboration project.
Research Experience
- Served as a program committee member for multiple international conferences such as ICML, EC, ICLR, and was a general cochair for FAT* 2019.
Education
- Ph.D. from Carnegie Mellon University, Advisor: Avrim Blum; Postdoc at the University of Pennsylvania, Hosts: Michael Kearns, Aaron Roth, Rakesh Vohra.
Background
- Research Interests: The social impact of machine learning and the impact of social behavior on ML's guarantees. Brief Introduction: Currently an assistant professor at the Paul G. Allen School of Computer Science & Engineering at the University of Washington, previously an assistant professor in the School of Computer Science at Georgia Tech.
Miscellany
- Mentored several students and visiting scholars, including Rachel Hong (PhD), Jie (Claire) Zhang (PhD), Yuanyuan (Chloe) Yang (PhD).
