Evi Micha
USC — Thomas Lord Department of Computer Science (Viterbi) · Assistant Professor
Research focus: computational social choice · fairness in AI / fair division · algorithmic game theory · ML + societal decision-making
针对 Evi Micha 的预审审核：构建以 computational social choice、algorithmic game theory、fai 分域、算法 fai 能力以及 AI 对齐为目标的拟合图，并借助社会选择机制；请提及一个近期论文或项目，并说明您可在第一学期启动的一个具体扩展。
Who this advisor fits / 什么情况下适合你
- Applicants should pitch theory-plus-social-choice/fairness fit and ask about initial advising cadence and project ownership.
- 申请人应阐述理论与社会选择理论相结合的项目方案，并询问初始指导节奏与项目所有权。
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.