معرفی
Steven Wu is an Assistant Professor in the School of Computer Science at Carnegie Mellon University, with a primary appointment in the Software and Societal Systems Department and affiliations in the Machine Learning Department, Human-Computer Interaction Institute (HCII), CyLab, and the Theory Group. His research focuses on algorithms and machine learning, particularly in responsible AI, privacy, bias, and uncertainty. He has received funding from NSF CAREER, Okawa Foundation, Amazon, Google, and others.
Research Interests:
- Foundations of responsible AI (privacy, bias, uncertainty)
- Interactive learning (imitation, reinforcement learning)
- Causal inference, game theory, econometrics, and language modeling
Grants and Awards:
- NSF CAREER Award
- Okawa Foundation Award
- Amazon Research Award
- Google Faculty Research Award
- J.P. Morgan Faculty Awards
Advising: Supervises PhD, master's, and undergraduate students across multiple programs, with notable alumni now at Amazon, Stanford, Tsinghua, and others. Leads the Tartan Federer team, which won all four tracks of The Vector Institute's MIDST challenge in 2025.
Labs and Collaborations: Active in CyLab (CMU's cybersecurity institute) and the Theory Group, focusing on privacy-preserving machine learning and algorithmic fairness.
