Elizabeth Bondi-Kelly
University of Michigan CSE · Assistant Professor of Computer Science and Engineering
Research focus: AI for social impact · multi-agent systems · human-AI collaboration · machine learning for conservation
人工审核申请准备：以具有社会影响的 AI 申请人身份准备，而非作为通用 ML 申请人：展示一个项目，其中模型或代理的设计与真实的生态保护、公共卫生或人机协同决策问题紧密相关。
Who this advisor fits / 什么情况下适合你
- You want ML tied to real data and deployable problems (signal: AI for social impact · multi-agent systems).
- Strong fit for applicants in AI for social impact, multi-agent systems, human-AI collaboration, conservation AI, and public-health AI; new-lab signal is mostly mentoring/advising guidance rather than
- 你想把 ML 接到真实数据与落地问题（当前信号：AI for social impact · multi-agent systems）。
- 适合申请 AI for social impact、multi-agent systems、human-AI collaboration、保护性保护 AI 以及 public-health AI 的申请人在该领域具有强契合度；新实验室的信号主要侧重于导师指导与咨询，而非校友推荐。
What to watch for / 什么情况下要慎重
- You want pure theory ML with little domain data or cross-disciplinary collaboration.
- You need strong placement evidence, but public signals for this PI are still thin.
- 你要的是纯理论 ML、几乎不碰领域数据或跨学科合作。
- 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.