George Zhang
Senior Research Scientist at Apple
Cupertino, California, United States
Summary
👤
Senior🎓
Top SchoolGeorge Zhang is a Senior Research Scientist in Cupertino with eight years of experience specializing in model predictive control, decision-making under uncertainty, real-time optimization, and machine learning for autonomous driving and ADAS. He holds a PhD from ETH Zürich in optimal decision making and has bridged academia and industry through roles at ETH, UC Berkeley (including an associate director role at the Hyundai Center of Excellence), and Apple. His work focuses on optimal control of constrained, uncertain systems and nonlinear optimization, applying theory to trajectory optimization, chassis control, and real-time vehicle systems. Known for leading cross-disciplinary teams, he combines deep theoretical expertise with pragmatic system-building to ship safety-critical vehicle software. An often overlooked strength is his background spanning both European and US research environments, enabling him to translate cutting-edge research into production-grade solutions.
8 years of coding experience
6 years of employment as a software developer
Master of Science (MSc) Control Theory, Master of Science (MSc) Control Theory at University of California, BerkeleyPrimary School Zopf, Adliswil, SwitzerlandDoctor of Philosophy (PhD) Optimal Decision Making under Uncertainty, Doctor of Philosophy (PhD) Optimal Decision Making under Uncertainty at ETH ZürichSwiss Matura, Swiss Matura at High School Wiedikon, Zurich, Switzerland
Github Skills (14)
mpc10
genesis10
model-predictive-control10
parking10
robotics9
collision9
optimization8
reinforcement-learning8
julia4
mixed-integer-programming4
quadratic-programming3
linear-programming3
optimizer2
gurobi1
Programming languages (2)
Github contributions (5)
XiaojingGeorgeZhang/H-OBCA
Mar 2018 - Apr 2018
Contributions:12 commits, 17 pushes, 1 branch in 15 days
XiaojingGeorgeZhang/OBCA
Nov 2017 - Apr 2018
Contributions:34 commits, 1 PR, 44 pushes in 5 months
roboticsautonomousreinforcement-learningoptimizationpath-planner
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