Liu Leqi

Welcome! I am an AI researcher currently focusing on understanding and developing large language models. My overarching research goal is to build controllable machine intelligence that serves humanity safely. For more information about my research, please check out the HUMAIN lab.

I am an Assistant Professor (2024 - now) in use-inspired AI at the Department of Information, Risk, and Operations Management and an affiliated faculty (2025 - now) in Computer Science at UT Austin. I also hold a 20% appointment at Google (2025 - now) as a Visiting Faculty Researcher.

Past Experience: I obtained my Ph.D. from the Machine Learning Department at Carnegie Mellon University in 2023, where I was advised by Zachary Lipton. During my Ph.D., I interned at Google DeepMind London in Summer 2022, working on deep reinforcement learning for mechanism design, and at Apple Siri in Summer 2019. I was an Open Philanthropy AI Fellow from 2020 to 2023, and was a postdoctoral researcher at Princeton Language and Intelligence from 2023 to 2024. My Bachelor’s degrees are in Computer Science from Bryn Mawr College and Mathematics from Haverford College. During my undergrad, I spent a wonderful semester at AIT-Budapest in Spring 2016.