Education
PhD in Computer Science — Indiana University Bloomington (2019–2025)
- Advised by Prof. XiaoFeng Wang
- Collaborate under NSF Center for Distributed Confidential Computing (CDCC)
B.S. in Electrical Engineering — Xi’an Jiaotong University (2014–2018)
- Honor’s Youth Program (Including 2-year Preparatory Courses)
Experience
Software Engineer — Google DeepMind, Mountain View (Fall 2025–Present)
- Prototyped AI inference systems at scale with protections provided by confidential computing
- Designed and conducted large-scale evaluations on production AI integration, especially multi-modal models
Research Intern — Microsoft Research, Redmond (Summer 2024)
- Prototyped AI inference systems keeping user data and private model secret via record & replay
- Conducted code analysis of CUDA kernel compilation, specifically launch and invocation details
Research Intern — Baidu USA, Sunnyvale (Spring 2022)
- Designed and implemented an FaaS framework meeting the new Proof of Being Forgotten policy
- Verified formal model of enclaves on Coq and implementation with zero data retention policies on Rust
- Published paper at USENIX Security'23; gave invited talks at Ant Group, TikTok, and Alibaba
Research Intern — Baidu USA, Sunnyvale (Summer 2021)
- Supported WebAssembly for Teaclave, a secure computing platform, with an AI inference app using TVM
- Worked as a committer to Apache Teaclave and contributor to Apache TVM
Teaching
- 2023: Instructor of Student Summer Intern at CDCC; Mentor of Google Summer of Code (GSoC)
- 2022: Advisor of Undergraduate Researcher at Luddy School
Honors & Activities
- Distinguished Artifact Reviewer of ACSAC 2023
- 1st & 3rd Place of HackIN Hackathon (Hardware Reverse Engineering CTF), 2019 & 2021
- 1st Place of “Network Security Venus Cup” Contest, 2016
- Organizing Committee of AISCC Workshop (Co-located with NDSS), 2024
- Reviewer and Evaluator of IDASH Privacy and Security Workshop, 2020–2022
- Founder & Chair of Network Security Club at XJTU, 2016–2017