About
I am a first-year Ph.D. student in the Montreal Institute for Learning Algorithms (MILA) at McGill University, where I am advised by Professor Doina Precup.
Before coming to McGill, I obtained my M.S. degree in Statistics and B.S. degree in Mathematical and Computational Science from Stanford University.
In summer 2017, I did a research internship at Nvidia’s Applied Deep Learning Research group with Bryan Catanzaro. Before that I did data science internships at Silicon Studio and Verizon Labs.
Interests
- Reinforcement Learning
- Bandits
- Statistical Learning Theory
- Optimization
Education
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PhD in Computer Science, 2018 - Present
McGill University, Montreal Institute for Learning Algorithms (MILA)
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MSc in Statistics, 2018
Stanford University
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BSc in Mathematical and Computational Science, 2015
Stanford University