Summary
Feng Gao is a Professor at Sun Yat-sen University with a decade of experience applying AI and big data to improve diagnostics, prognostics, and outcomes in oncology and other biomedical domains. Trained with a PhD in Biomathematics/Bioinformatics from City University of Hong Kong and joint work at Cornell, he blends deep technical rigor in machine learning with clinical problem-solving. His background spans academia and industry—from quantitative analysis in finance to systems engineering and a consulting role at Shanghai AI Laboratory—enabling practical, translational research. Feng’s work emphasizes patient stratification, biomarker discovery, and target identification, and he is known for translating complex models into clinically relevant insights. Based in Guangzhou, he combines strong computational foundations with multidisciplinary collaboration across medicine and AI.
10 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (PhD), Oncology and Cancer Biology, Doctor of Philosophy (PhD), Oncology and Cancer Biology at Cornell University
Bachelor's degree, Computer Science and Technology, 88.24%, Bachelor's degree, Computer Science and Technology, 88.24% at Shandong University
Exchange Student, Computer Science and Electronic Engineering, 4.18/4.3, Exchange Student, Computer Science and Electronic Engineering, 4.18/4.3 at Kumamoto University
Doctor of Philosophy (PhD), Biomathematics, Bioinformatics, and Computational Biology, 4.02/4.3, Doctor of Philosophy (PhD), Biomathematics, Bioinformatics, and Computational Biology, 4.02/4.3 at City University of Hong Kong
Chinese, Japanese, English, Spanish, German, French, Korean, Russian, Latin, Greek, Italian