Yang Gao
PHD Candidate -- Biomedical Engineering
Haidian District, Beijing, China
Summary
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Senior🎓
Top SchoolYang Gao is a Biomedical Engineering PhD candidate at Tsinghua University with 11 years of research experience bridging machine learning and medical imaging, including fluorescence molecular imaging applications. He has a strong quantitative background from a B.S. in Pharmacology and a track record of cross-border collaboration, having served as a research scholar at the University of Pittsburgh School of Medicine on redox signaling and anti-dengue antigen projects. Skilled in statistical data analysis and ML-driven image analysis, he translates complex biological problems into computational solutions. Comfortable in global research environments, he has also mentored peers and coordinated international scholar groups, reflecting both technical depth and leadership in academic labs.
11 years of coding experience
Doctor of Philosophy - PhD, Biomedical/Medical Engineering, Doctor of Philosophy - PhD, Biomedical/Medical Engineering at Tsinghua University
English, Chinese, uyghur
Github Skills (32)
imitation-learning10
unreal-engine-410
simulator10
matconvnet10
computer-vision10
deep-reinforcement-learning10
ros10
autonomous-driving10
carla10
artificial-intelligence9
caffe9
cross-platform9
self-driving-car9
ai9
deep-learning9
Programming languages (5)
Github contributions (5)
gy20073/BDD_Driving_Model
Apr 2017 - Apr 2018
Contributions:52 commits, 50 pushes, 1 branch in 1 year
gy20073/CIL_modular
Jun 2018 - Oct 2019
Contributions:350 commits, 319 pushes, 1 branch in 1 year 3 months
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