معرفی
Berk Ustun is an Assistant Professor at the Halıcıoğlu Data Science Institute and the Department of Computer Science & Engineering at the University of California, San Diego. His research focuses on responsible machine learning, with applications in medicine, consumer finance, and the physical sciences, emphasizing algorithmic fairness, interpretability, and personalization.
Previously, he held research positions at Google AI and the Harvard Center for Research on Computation and Society, and co-founded Petal, a company using ML to broaden credit access. He earned a PhD in Computer Science from MIT and Bachelors degrees in Operations Research and Economics from UC Berkeley.
His group at UCSD recently expanded with the addition of Harry Cheon and Shreyas Kadekodi. He has received multiple awards, including the Kavli Fellowship, NSF Awards for Recourse Verification and AI-Driven Wildfire Prevention, the FAI Award for Fair AI in Medicine, and an Amazon Research Award for Participatory Personalization in ML.
- 2025: Notable Area Chair at NeurIPS
- 2023: NSF Award for Recourse Verification
- 2023: Amazon Research Award for Participatory Personalization
- 2021: Kavli Fellow by NAS
- 2021: FAI Award for Fair AI in Medicine
Berk actively hires postdoctoral researchers in responsible ML through his UCSD lab, with recent projects addressing label indeterminacy, predictive multiplicity, and equitable algorithm design. He advocates for ethical frameworks in AI, challenging the efficacy of explanation laws in detecting discrimination and exploring the societal impact of machine learning systems.
