Chao Gao
Senior Principal Researcher at Huawei Canada
Edmonton, Alberta, Canada
Summary
👤
Senior🎓
Top SchoolChao Gao is a Staff Researcher with a decade of experience building application-driven solutions at the intersection of heuristic search, reinforcement learning, and combinatorial optimization. Based in Edmonton, he has advanced tensor program optimization for heterogeneous hardware (TVM/Halide) at Huawei, translating research ideas into production-grade systems. His background spans academic work in discrete optimization and multi-agent RL (including Pommerman) through internships and research positions, culminating in a PhD-level focus on practical algorithms for hard problems. Known for blending search-based methods with deep RL, he routinely targets real-world performance bottlenecks rather than purely theoretical gains. An economist of compute, he combines low-level systems intuition with algorithmic creativity to squeeze efficiency from complex ML workloads.
10 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at University of AlbertaMaster of Science (MSc) Computer Science, Master of Science (MSc) Computer Science at University of Science and Technology of ChinaBachelor of Science (B.Sc.) Computer Software Engineering, Bachelor of Science (B.Sc.) Computer Software Engineering at Nanchang University
English, Chinese
Github Skills (20)
python10
machine-learning10
deep-learning10
tensorflow10
ml9
deep-neural-networks9
neural-network9
cmake8
hex6
reinforcement-learning-environments4
reinforcement-learning3
multi-agent2
compiler2
ai2
mahjong1
Programming languages (3)
Github contributions (5)
cgao3/neurobenzene
Apr 2019 - Nov 2020
Contributions:26 commits, 3 pushes in 1 year 6 months
cgao3/pnnhex
Jun 2016 - Aug 2017
Contributions:119 commits, 118 pushes, 5 branches in 1 year 2 months
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