Jinghan Jia
Research Assistant at Michigan State University
- Role
- Research Fellow at Anthropic
- Location
- Gainesville, FL, US
- LinkedIn followers
- 500 followers
About Jinghan Jia
AboutI am a Ph.D. candidate in Computer Science at Michigan State University, specializing in trustworthy and efficient foundation models (LLMs and diffusion models), machine unlearning, reasoning enhancement, and optimization techniques. My research spans topics including:Trustworthy AI: unlearning, alignment, privacyEfficient training: sparsification, parameter-efficient fine-tuning, mixture-of-experts (MoE)LLM reasoning: test-time computing, reasoning-driven trainingOptimization: zeroth-order optimization, bilevel optimization, convex/non-convex optimizationI have published 21 papers (11 first-authored) at top conferences including NeurIPS, ICLR, ICML, CVPR, ECCV, EMNLP, ACL, and NAACL, with impactful contributions in LLM unlearning, robust watermarking, and reasoning-optimized training.My industrial experience includes research internships at IBM, ByteDance, and Amazon, where I worked on safety assessment for RL-driven agents, robust LLM watermarking (with patent), and dialogue quality evaluation using LLMs.I am actively seeking research collaborations and full-time job opportunities in both academia and industry to further advance these research directions.Feel free to connect or reach out: Email: j•••••••@msu.edu WeChat: https://jinghanjia.netlify.app/
Experience
Research Fellow
Jan 2026 — Present
Education
Michigan State University
Doctor of Philosophy - PhD, Computer Science
2021
University of Florida
Master of Science - MS, Electrical and Electronics Engineering
2019 — 2021
University of Science and Technology of China
Bachelor of Engineering - BE, Computer Science
2015 — 2019
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