I am an incoming AI resident at Google Brain Montreal. Starting in 2020, I will return to UC Berkeley for my PhD, from which I graduated with degrees in Computer Science and Applied Mathematics.

During my undergraduate career, I collaborated heavily with Sergey Levine in deep reinforcement learning, and with Ben Brown in interpretable machine learning. I also had the privilege to co-create Stat 140: Probability for Data Science in 2017, for which I served as the head teaching assistant several times.

A note on my name

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