Aliyah R. Hsu

I’m a 5th-year PhD student at UC Berkeley’s EECS department and BAIR, researching natural language processing (NLP), interpretability and AI-assisted clinical decision making. I’m generally interested in language model applications and building trust and safety in large language models (LLMs) in high-stakes domains.

I am fortunate to have been awarded UC Berkeley Chancellor Fellowship and EECS Excellence Award and advised by Bin Yu.

I received my double Bachelor’s degrees in electrical engineering and economics from National Taiwan University (NTU). During my time at NTU, I had the pleasure to have worked with Lin-Shan Lee, Hung-Yi Lee, and Yu-Chiang Frank Wang on research focusing on dialogue response generation and computer vision.

I am on the industry job market during the 2024-2025 academic year. Happy to connect if you think I might be a good fit for your team.

You can find my CV here, which includes a non-exhaustive list of people from many institutions (UCSF, MIT, UT Austin, Microsoft Research, Salesforce) who took a leap of faith to support, teach, and guide me in research.