Hao Fang
Postdoctoral Scholar at University of Washington
Seattle, Washington, United States
Summary
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Senior🎓
Top SchoolHao Fang is a Postdoctoral Scholar with 13 years of experience at the intersection of brain-computer interfaces, robotics, NLP, and computer vision, currently advancing transformer and foundation-model approaches for neural spiking data at the University of Washington. He holds a PhD in Electrical and Computer Engineering and has led projects that translate generative and variational sequence models into real-time closed-loop BCI systems implemented on FPGA, as well as diffusion- and VAE-based motion planners for dual-arm and interceptive robotics. His work blends theoretical rigor—robust adaptive neuromodulation and manifold learning for EEG—with practical systems engineering, demonstrated by deploying YOLO-based perception, EKF state estimation, and classifier-guided diffusion in hardware-in-the-loop experiments. Focused on reinforcement learning in his codebase, Hao is now seeking a full-time research scientist role in industry where he can bridge foundational ML models and real-world neural and robotic systems.
13 years of coding experience
4 years of employment as a software developer
Postdoctoral Scholar, Brain-Computer Interfaces, Postdoctoral Scholar, Brain-Computer Interfaces at University of WashingtonBachelor's degree, Biomedical Engineering, Bachelor's degree, Biomedical Engineering at Zhengzhou UniversityMaster's degree, Electrical Engineering, 4.0/4.0, Master's degree, Electrical Engineering, 4.0/4.0 at Washington University in St. LouisDoctor of Philosophy - PhD, Electrical and Computer Engineering, 4.0/4.0, Doctor of Philosophy - PhD, Electrical and Computer Engineering, 4.0/4.0 at University of Central Florida
Chinese, English
Github Skills (2)
java7
golang6
Programming languages (1)
Github contributions (5)
fanghao1024/poj
Jan 2023 - Mar 2024
Contributions:78 pushes, 1 branch in 1 year 2 months
chinafanghao/self_os
May 2013 - May 2013
Contributions:2 commits in 1 day
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