Tyler Zhu
Student Researcher at Google DeepMind
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolTyler Zhu is a PhD student at Princeton University advised by Olga Russakovsky, focusing on computer vision and efficient systems for video understanding with a strong grounding in the scientific method. Based in the San Francisco Bay Area, he combines rigorous theory with practical system-building across academia and industry. He is currently a Student Researcher at Google DeepMind, applying video understanding to scalable ML pipelines. Earlier industry experience includes a Google Software Engineering Internship where he cut the time to remove deprecated clients by over 10x, plus a Citadel Securities trading internship and teaching roles at UC Berkeley. His academic path includes a BS in Electrical Engineering and Computer Science from UC Berkeley (2018), an MS in CS from UC Berkeley (2022), and ongoing PhD work at Princeton. Tyler's profile reflects a rare blend of theoretical depth and hands-on deliverables in CV and ML.
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, BerkeleyStanford University Mathematics Camp (SUMaC), 10, 11, Stanford University Mathematics Camp (SUMaC), 10, 11 at Stanford UniversityIrvington High SchoolDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Princeton University
English, Chinese, French
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (38)
mscoco9
hierarchical9
backbone9
evaluation8
imagenet7
ghost7
datasets7
semantic-segmentation7
computer-vision7
object-detection7
visual-recognition7
multimodal6
machine-learning6
pytorch6
image-classification6
Programming languages (6)
Github contributions (5)
tyleryzhu/course-notes
Sep 2020 - May 2021
Source code for most of my course notes
Contributions:1 review, 26 commits, 1 PR in 7 months
notescourse-notes
tyleryzhu/wordle-bot
Jan 2022 - Aug 2022
Contributions:2 releases, 21 commits, 17 pushes in 7 months
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