Lydia T. Liu


I am a third-year PhD student in Computer Science at University of California, Berkeley, advised by Moritz Hardt and Michael I. Jordan. I am affiliated with RISELab and BAIR. Previously, I obtained my BSE in Operations Research and Financial Engineering from Princeton University, where I was fortunate to work with Barbara Engelhardt, Han Liu, and Amit Singer. I have also spent two wonderful summers interning at Microsoft Research: hosted by Urun Dogan and Katja Hofmann in the Reinforcement Learning Group at MSR Cambridge in 2016, and hosted by Christian Borgs, Jennifer Chayes, and Adam Tauman Kalai at MSR-NE in 2019.

In 2019-20, I am supported by a Microsoft Ada Lovelace Fellowship and an Open Philanthropy AI Fellowship.

I am interested in developing machine learning algorithms that have reliable performance guarantees, and positive long-term societal impact. Read about my research.

Outside of research, I enjoy photography, music, and poetry.

What’s new? Blog post: When bias begets bias: A source of negative feedback loops in AI systems.

Email: lydiatliu_at_berkeley_dot_edu