Summary
Tyler Zhu is a PhD student in computer science focused on computer vision and efficient video understanding systems, advised by Prof. Olga Russakovsky and currently conducting research at Google DeepMind. With nine years of experience spanning research, software engineering internships at Google, and quantitative work at Citadel Securities, he blends rigorous theoretical thinking with practical system-building. He has taught and supported large courses as a CS 70 TA and Head TA at UC Berkeley, sharpening his ability to communicate complex ideas. Based in the San Francisco Bay Area and active in the Princeton visual AI community, he’s motivated by the scientific method and driven to make video ML models both accurate and resource-efficient—often trading off theoretical elegance for real-world deployability.
9 years of coding experience
2 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of California, Berkeley
Stanford University Mathematics Camp (SUMaC), Stanford University Mathematics Camp (SUMaC) at Stanford University
Irvington High School
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Princeton University
English, Chinese, French