…..is committed to building tools that make AI systems more fair, transparent, privacy-preserving, and safe for users and society. We believe that good methods and experiments should be grounded in theory, but theory alone is not the end goal: we want to ultimately release tools that can impact practice in the near term. Interested Harvard students can apply here.
- PI(s): Seth Neel, Salil Vadhan
- Post Docs: Martin Pawelcyzk (co-advised Hima Lakkaraju), Shivam Garg
- PhD Students: Roy Rinberg (CS)
- Undergraduates: Jamie Lu, Marvin Li, Jeffrey Wang, Jason Wang.
- Staff: Lukman Olagoke (RA full-time), Amanda Chieco (Lab Manager)
- Logo Design: Phyllis Ford
Alumni: Leor Fishman, Anupama Nandi, Peter Chang.
Open Positions:
- Data-Centric AI Post Doc (1-2 years) focused on issues of privacy, data attribution, unlearning in A.I. systems (LLMs, vision models, RL).
Theory Post Doc(1-2 years) focused on fundamental methods in differential privacy or ML fairness- Student Researcher (Harvard only)
- PhD Positions. If you would like to pursue a PhD under my guidance, please apply to BOTH the following PhD programs and mention my name in your statements and applications:
- PhD Program in Technology and Operations Management at Harvard Business School (mention my name).
PhD Program in Computer Scienceat Harvard SEAS (mention Salil Vadhan & my name).
Seth Neel 