I am a Research Scientist at NVIDIA, Data-Driven AI for Robotics (DAIR) team.
Previously, I was a Postdoctoral Scholar at Stanford, working with Karen Liu.
I obtained my Ph.D. from Carnegie Mellon University, advised by Shubham Tulsiani and Abhinav Gupta.
Prior to CMU, I received my B.S. in Computer Science from Tsinghua University, where I worked with Shi-Min Hu and Yankui Sun.
I have also spent wonderful summers at NVIDIA LPR, at FAIR with Kris Kitani, and at MPI-PS with Michael Black.
My research focuses on understanding and replicating human dexterity during interactions—both in the digital world (AR/VR) and in the physical world (robotics and biomechanics).
Specifically, I study how to recover and generate humans interacting with their surroundings from raw sensor data such as images, videos, and wearable signals:
how to accurately perceive interactions, discover their patterns, and enable agents to actively interact with the world.
I am very fortunate to receive recognition along the way:
EECS Rising Stars (2023);
NVIDIA Graduate Fellowship (2022-2023);
Excellent Undergraduate Student by Tsinghua University (2017);
Outstanding Undergraduate Student by Tsinghua Computer Science Dept (2017);
TP-Link Scholarship (2017);
Singapore Technologies Engineering China Scholarship (2015, 2016, and 2017);
National Scholarship, by the Ministry of Education of China (2014);
Sports Outstanding Award, by Tsinghua Computer Science Dept (2014, 2016, and 2017);
Student service Excellence Award, by Tsinghua University (2016);
Misc
Besides research, I’m passionate about music and sports! I played violin with the All University Orchestra (AUO) at CMU and the Tsinghua University Symphony Orchestra (TUSO), and recently picked up the guitar. I’m also an (inactive) member of the Stanford Badminton Club. Before that, I played for and served as coach of the CMU Badminton Team, and was captain of the Tsinghua Badminton Team. Here’s a fun CV about the other slices of my life.
