I am a research scientist in the Learning and Perception Research (LPR) team of NVIDIA Research.
I am interested in learning and inference algorithms for applications such as generative modeling, reinforcement learning, representation learning, simulation, and inverse problems. Prior to joining LPR, I was a postdoc in Computer Science in Stanford University working with Stefano Ermon. I received my Ph.D. degree in Computer Science from Stanford University in 2021 and B.Eng. degree in Computer Science from Tsinghua University in 2016. I was a recipient of the ICLR 2022 Outstanding Paper Award and the Qualcomm Innovation Fellowship.
A complete list of papers, including those published before joining NVIDIA research, can be found in my personal website and Google scholar page.