Bruno Castro da Silva
UMass Amherst — Manning College of Information & Computer Sciences (CICS) · Assistant Professor
Research focus: reinforcement learning · robotics · safe/fair ML · hierarchical/open-ended learning
保护项目 1 的预审审核：构建基于保护项目 0、自主学习、保护项目 3、保护项目 2、层级化学习以及开放学习等要素的适配模型；请提及一个近期论文或项目，并说明您计划在第一个学期启动的一个具体扩展。
Who this advisor fits / 什么情况下适合你
- Treat as a research-fit target first; verify current recruiting and recent student outcomes directly before relying on placement history.
- 首先将目标定位为研究契合度，在直接核查当前招聘状况及近期学生成果的基础上，再基于过往录取记录做出判断。
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.