Eleazar Eskin
UCLA CS AI / ML · Professor of Computer Science; Chair, Computational Medicine
Research focus: machine learning for genomics · bioinformatics · genetics · computational medicine
手动审核申请准备：作为计算基因组学申请人，请准备统计 ML、bioinformatics、人类 genetics、基因组关联、疾病 genetics 或 computational medicine。
Who this advisor fits / 什么情况下适合你
- Best fit for applicants with ML/statistical genetics, computational genomics, bioinformatics, and disease-genetics computation; placement evidence is weaker than research/status evidence in the curren
- 最适合申请具有 ML/统计 genetics、计算基因组学 cs、bioinformatics 以及疾病 genetics 计算的应用；当前源稿中的研究/地位证据强度低于现有数据中的研究/地位证据。
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.