About Me

I am currently a Machine Learning Engineer in the Geometric Vision team at Tesla Autopilot. Previously, I completed my Master's in Computer Science with thesis at the University of Illinois Urbana-Champaign (UIUC), where I was fortunate to work with my amazing mentor Prof. Shenlong Wang. My research focused on combining deep learning and classical 3D vision to design robust systems for multi-view synchronization and 4D modeling from monocular videos.

My interests lie broadly in 3D vision, neural rendering, deep learning and their applications in autonomous driving and robotics.

Education

M.S. in Computer Science (GPA: 4.0/4.0)

University of Illinois Urbana-Champaign (UIUC)

B.S. in Mathematics and Computer Science, minor in Statistics (GPA: 4.0/4.0)

University of Illinois Urbana-Champaign (UIUC)

Publications

Uni4D: Unifying Large Vision Models for 4D Modeling from a Single Video

David Yifan Yao, Albert J. Zhai, Shenlong Wang

CVPR 2025 Highlight

paper / project page / code

Work Experience

Machine Learning Engineer, Tesla Autopilot (May 2025 - Present)

Palo Alto, US

Software Engineer Intern, Roblox (May 2022 - Aug 2022)

San Mateo, US

Data Science Intern, SmartClean (May 2021 - Aug 2021)

Singapore

Data Science Intern, Ai Palette (Feb 2020 - Jun 2020)

Singapore

Research Experience

Graduate Research Assistant at Shenlong's Lab, UIUC (Aug. 2023 - May. 2025)

Advisor: Prof. Shenlong Wang

Research Assistant at Forward Data Lab, UIUC (Jun. 2022 - Feb. 2023)

Advisor: Prof. Kevin Chang

Teaching Experience (UIUC)