Jeremy Tien

Contact: jeremyti (at) cs (dot) cmu (dot) edu

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Hi! I’m a Machine Learning PhD student at Carnegie Mellon University, where I am fortunate to be advised by Prof. Aran Nayebi and Prof. Zico Kolter. I’m interested in AI safety and alignment, particularly for agentic systems.

Formerly, I graduated from the University of California, Berkeley with a Bachelor of Science degree in Electrical Engineering and Computer Science, where I did research in the area of human-AI interaction while advised by Prof. Anca Dragan.

news

May 01, 2026 I’m honored to receive a National Science Foundation Graduate Research Fellowship (NSF GRFP) for my proposal on “Provably Safe and Beneficial Artificial Intelligence Agents”!

selected publications

  1. Causal Confusion and Reward Misidentification in Preference-Based Reward Learning
    Jeremy Tien, Jerry Zhi-Yang He, Zackory Erickson, and 2 more authors
    In The Eleventh International Conference on Learning Representations, 2023
    PDF
  2. Trajectory Improvement and Reward Learning from Comparative Language Feedback
    Zhaojing Yang, Miru Jun, Jeremy Tien, and 3 more authors
    In 8th Annual Conference on Robot Learning, 2024
    PDF
  3. ROGUE: Misaligned Agent Behavior Arising from Ordinary Computer Use
    Jeremy Tien, Abishek Anand, Yu-Rou Tuan, and 3 more authors
    arXiv preprint arXiv:2606.00341, 2026
    arXiv