Martin Wattenberg
Harvard SEAS CS · Gordon McKay Professor of Computer Science; Chandra Fellow, Harvard Business School; Faculty Associate, Berkman Klein Center
Research focus: AI interpretability · data visualization · human-computer interaction · mechanistic interpretability
手动审核申请准备：作为可视化与可解释性申请人，准备一个经过精心设计的交互式艺术品，以帮助人们洞察模型或数据的行为。
Who this advisor fits / 什么情况下适合你
- Applicants should bring unusual clarity in visual explanation, interpretability, and human-centered AI systems; verify advising setup because the public lab page is project-centered rather than roster
- 申请人应提供异常清晰、可解释且以人为本的视觉解释，并验证指导设置，因为公共实验室页面侧重于项目导向而非排班导向。
What to watch for / 什么情况下要慎重
- You need strong placement evidence, but public signals for this PI are still thin.
- 你需要强证据的毕业去向分布，而这位 PI 目前公开信号仍较薄。
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.