Yifang Chen
Member Of Technical Staff at Microsoft
Los Angeles, California, United States
Summary
👤
Senior🎓
Top SchoolYifang Chen is a senior research scientist at Microsoft, applying a decade of research in online learning, bandits, and reinforcement learning to build theory-driven, scalable AI systems. Based in Los Angeles, he is a PhD student in the University of Washington's computer science program, with a strong USC background in electrical engineering and signal processing. His work spans multi-armed and contextual bandits, online optimization, game theory and partial monitoring, with an emphasis on providing theoretical guarantees for algorithms. He has contributed to industry-leading projects through internships at Google (RL for LLM reasoning) and Meta (active learning with weak labelers), as well as online learning initiatives at Baidu and Microsoft. A regular collaborator with Haipeng Luo, he combines rigorous research with hands-on experience to translate complex theory into robust AI methods.
10 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at University of Southern CaliforniaDoctor of Philosophy - PhD, Computer science, Doctor of Philosophy - PhD, Computer science at 美国华盛顿大学
German, English, Chinese
Github Skills (23)
compression8
pytorch7
machine-learning7
gpu7
optimization7
terrain6
addon6
deep-learning6
mixture-of-experts6
inference6
blender5
google-earth5
google-maps4
one-click4
deepspeed3
Programming languages (1)
Github contributions (5)
cloudwaysX/verl
Mar 2025 - Apr 2025
verl: Volcano Engine Reinforcement Learning for LLMs
Contributions:125 pushes, 1 branch in 29 days
cloudwaysX/EE569
Jan 2017 - Apr 2017
Contributions:64 pushes, 1 branch in 3 months
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