Yongfu Hao
Research Scientist
Zhejiang, China
Summary
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Senior🎓
Top SchoolYongfu Hao is a research scientist with nine years of experience applying deep learning and traditional machine learning to medical imaging and time-series problems. He has developed clinically impactful tools such as a deep-learning spike detector for EEG-fMRI at the Montreal Neurological Institute and worked on ultrasound image registration and tumor segmentation with Mindray and Tsinghua University. At Stradigi AI he extended his expertise to time-series modeling, blending signal-processing rigor with modern DL architectures. Holding a Ph.D. in pattern recognition and degrees in biomedical engineering and automation, he bridges academic research and product-focused development. Based in Zhejiang, China, he balances AI research with practical problem solving—and, off the clock, brings the perspective of a father to human-centered AI design.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Pattern recognition and intelligent system, Doctor of Philosophy (Ph.D.), Pattern recognition and intelligent system at University of Chinese Academy of SciencesMaster's degree, Biomedical/Medical Engineering, Master's degree, Biomedical/Medical Engineering at Northeastern University (CN)Bachelor's degree, Automation Engineer Technology/Technician, Bachelor's degree, Automation Engineer Technology/Technician at Henan University
English, Chinese, FrenchGithub contributions (5)
rock913/paper-on-AI
Aug 2017 - Jan 2019
Contributions:24 commits, 26 pushes, 1 branch in 1 year 5 months
rock913/storm
Jan 2025 - Mar 2025
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
Contributions:4 pushes, 1 branch in 1 month
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