Jialin Song
Research Scientist @ NVIDIA
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.