Email: jialin.utpt@gmail.com

I am a research scientist on the Applied Deep Learning Research team at NVIDIA, working on machine learning for hardware designs. I received my PhD from Caltech advised by Professor Yisong Yue.
I graduated with a bachelor’s degree majoring in computer science and mathematics from University of Toronto where I worked with Professor Michael Brudno, Professor Faith Ellen and Professor Kumar Murty.

My research interest is to apply policy learning (reinforcement/imitation learning) techniques to solve optimization problems from combinatorial and Bayesian domains.

For an overview of my research, please see my presentation. [video][slide]. For my full research experiences, please refer to my CV.

I helped organize the Learning Meets Combinatorial Algorithms Workshop at NeurIPS 2020, which covered a broad range of research in learning to optimize.