Denys Poshyvanyk
William & Mary — Computer Science (School of Computing, Data Sciences & Physics) · Chancellor Professor
Research focus: deep learning for software engineering · AI for code (generation, repair, review) · ML + information retrieval for SE · program comprehension
保护项目 1：构建软件工程、软件维护与演进、逆向工程、软件仓库挖掘、可追溯性、软件度量、IR/NLP/ML、源代码分析、代码生成、代码审查等能力，并引用一个可见的项目、实验室主题、招聘信号、岗位角色、论文领域或部署模式，提出首个学期的具体扩展方案。
Who this advisor fits / 什么情况下适合你
- You care about faculty-track outcomes; public alumni rows include verifiable faculty placements.
- Industry research or startup/translation paths appeal to you (meaningful share in public outcomes).
- Use the placement pattern to calibrate ambition, but still anchor outreach in current project fit, advisor capacity, and program route.
- 你在意学术教职/教职轨去向，公开校友里有可核对的教职案例。
- 工业研究或创业/转化路径对你有吸引力（公开去向里占比不低）。
- 请依据放置模式校准抱负，但始终将面向公众的 outreach 锚定在当前项目契合度、导师资源及项目路线的匹配度上。
What to watch for / 什么情况下要慎重
- Faculty-only is your sole goal and you want zero industry/translation exposure.
- 你把「教职为唯一目标」且完全不想碰工业/转化网络。
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.