Lisa Lee is a PhD student in Machine Learning at Carnegie Mellon University, advised by Ruslan Salakhutdinov and Eric Xing. She was formerly a full-time software engineer at Google. She graduated summa cum laude with an A.B. in Mathematics from Princeton University, where she was advised by Sanjeev Arora.
Lisa studied cello with Minhye Clara Kim at the Juilliard School in NYC. She is an alum of the New York Youth Symphony, the Princeton University Orchestra, and the NYYS Chamber Music Program, among others. She used to give solo performances on cello and piano at Carnegie Hall.
Office: 8011 Gates-Hillman Center
Contact: lslee [at] cs.cmu.edu
Research interests: Deep reinforcement learning, multi-agent learning, hierarchical planning, continual learning
Teaching:
- I am a TA for 10-708 Probabilistic Graphical Models (Spring 2019).
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I was awarded TA of the Year for 10-703 Deep Reinforcement Learning (Spring 2018).
Conference & Workshop Committees
- I am a Workflow Chair for ICML 2019.
- I co-organized ICML 2018 workshop on Theoretical Foundations and Applications of Deep Generative Models (TADGM).
