Himabindu Lakkaraju
Harvard SEAS CS · Assistant Professor, Harvard Business School; Affiliate in Computer Science
Research focus: interpretable machine learning · responsible AI · human-AI decision making · fairness and accountability
手动审核申请准备：最适合那些具备可解释性、能够处理可解释性、能够支持人类决策支持或能够处理算法可解释性的申请人。
Who this advisor fits / 什么情况下适合你
- You care about faculty-track outcomes; public alumni rows include verifiable faculty placements.
- Industry research or startup/translation paths appeal to you (meaningful share in public outcomes).
- Best fit for applicants in interpretable ML, responsible AI, explainability, human-AI decision support, or algorithmic fairness who can navigate cross-school advising.
- 你在意学术教职/教职轨去向，公开校友里有可核对的教职案例。
- 工业研究或创业/转化路径对你有吸引力（公开去向里占比不低）。
- 适用于具备可解释性、可解释性、人类决策支持或算法可解释性的申请人，能够跨校咨询指导的申请者。
What to watch for / 什么情况下要慎重
- Faculty-only is your sole goal and you want zero industry/translation exposure.
- 你把「教职为唯一目标」且完全不想碰工业/转化网络。
Public evidence as of 2026-06-10
These are decision-support signals compiled from public evidence (faculty pages, publications, lab sites) to help you ask better questions — not a ranking, rating, or allegation about this advisor. / 以上为基于公开信息整理的择校参考，帮助你提出更好的问题，并非排名、评分或对该导师的指控。
Ask a verified 学长学姐 / 同校 .edu 认证点评
The thing applicants say only 师兄师姐 can tell you — current & former students of this lab, verified by their school .edu. Open the full dossier to read or add a verified note.