Zhihao Z
Student Researcher at Toyota Research Institute
Los Angeles, California, United States
Summary
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Rockstar🎓
Top SchoolZhihao Z is a PhD student researcher in computer science at UCLA with five years of industry and research experience across autonomy, ADAS, and AI-driven perception. Currently at Toyota Research Institute, he develops world model–based simulation for end-to-end driving, building on prior research internships at Qualcomm and Honda focused on behavioral modeling, scene graphs, and human action segmentation. He holds an MS in EECS and a BA in Computer Science and Applied Mathematics from UC Berkeley, combining strong theoretical grounding with practical systems experience from teams at Amazon, JD.com, Tencent, and WeBank. Zhihao’s background spans both product-facing internships (Lab126 devices, speech synthesis) and core research, giving him a rare fluency in moving algorithms toward deployed systems. Colleagues describe him as someone who navigates between large-scale data engineering and cutting-edge perception research, often surfacing insights that bridge simulation and real-world behavior. Based in Los Angeles, he brings a cross-institutional perspective (Berkeley to UCLA) and a track record of translating research prototypes into components used by engineering teams.
5 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Electrical Engineering and Computer Sciences (EECS), Master of Science - MS, Electrical Engineering and Computer Sciences (EECS) at University of California, BerkeleyYale Young Global ScholarsUniversity of California, Los Angeles
Github Skills (36)
simulation10
autonomous-driving10
full-stack9
automation8
multi-task-learning7
computer-vision7
quantization6
deep-learning6
3d6
pose-estimation6
heterogeneous5
self-supervised-learning5
depth-camera5
object-tracking4
multi-agent4
Programming languages (3)
Github contributions (5)
ucla-mobility/QuantV2X
Aug 2025 - Jun 2026
[ECCV 2026] Official Repo for QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception
Contributions:1 review, 27 pushes, 7 branches in 10 months
multi-agentcooperative-perceptionmultiagent-systemsquantization
sethzhao506/research_review_by_year
Dec 2023 - Jan 2026
Contributions:4 pushes, 1 branch in 2 years
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