About
Alexander Pan is a third-year Computer Science PhD student at the University of California, Berkeley, advised by Jacob Steinhardt. His research focuses on developing safe machine learning systems, particularly sequential decision-making agents.
He holds a dual bachelor's degree in Mathematics and Computer Science from Caltech, where he worked with Anima Anandkumar and Yuanyuan Shi.
His recent work explores AI safety through topics like unlearning, LLM transparency, and reward hacking, with publications at premier conferences including ICML and ICLR. He has received recognition such as the FLI PhD fellowship and hackathon awards for projects like SimSquare and homES ReInvented.
- Scientific Awards:
- FLI PhD fellowship
- Best Social Network Hack - Stanford Hackathon 2021
- Best Use of ESRI Technology - Caltech Hackathon 2020
- ICML 2023 Oral Presentation
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