I am a doctoral student in the ShaLab supervised by Fei Sha. My research topic lies at the intersection of optimization and reinforcement learning.
I did my undergraduate at the University of Southern California, double majoring in Computer Science and Mathematics. My research focused on machine learning, and mathematical optimization.
I also like skiing (a lot).
Our preprint on Analyzing the variance of policy gradient estimators for LQR was accepted at the OptRL NeurIPS workshop. [ArXiv, pdf]
Our paper on Reducing the variance in online optimization by transporting past gradients was accepted at NeurIPS as a spotlight contribution. [ArXiv, pdf, website, code]
Our submission to the PyTorch Summer Hackathon won best in show! Check out the website to learn how to easily implement meta-learning algorithms with learn2learn. [website, code]
I will be attending the East-European Summer School this summer. Get in touch if you will too!