Kara Liu

I am currently a second year Computer Science PhD candidate at Stanford University, and I am honored to be advised by Professor Russ Altman. My research focuses on the development and application of machine learning methods for equitable and effective healthcare.

Prior to this, I worked as a Machine Learning Engineer at insitro, a biotech company led by Daphne Koller that utilizes machine learning for drug discovery and development. I received my B.A. in Computer Science at UC Berkeley and conducted research at Berkeley Artificial Intelligence Research (BAIR) Laboratory, where I worked on long-horizon visual planning and representation learning under Pieter Abbeel and Aviv Tamar.

When I'm not thinking about research, I enjoy reading, listening to podcasts on long runs, and cooking vegetables.

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Publications
Learning Meaningful Representations of Life (LMRL) NeurIPS Workshop, 2022.
S. Sivanandan, ... K. Liu, ... C. Chu
Journal of Hepatology, Vol. 77
P. Stanitsas*, K. Liu*, ... D. Koller, M. Albert.
International Conference on Machine Learning (ICML), 2020. Deep RL Workshop NeurIPs, 2019.
K. Liu*, T. Kurutach*, C. Tung, P. Abbeel, A. Tamar
Robtics: Science and Systems (RSS), 2019
A. Wang, T. Kurutach, K. Liu, P. Abbeel, A. Tamar
Teaching

Teaching Instructor, CS189 Spring 2020
Teaching Instructor, CS189 Fall 2019