Hangming Fan
SR. Engineer at 美光科技
Singapore, Singapore
Summary
👤
Senior🎓
Top SchoolHangming Fan is a Ph.D. candidate in Materials Science and Engineering and a Sr. Engineer with nine years of experience bridging protein biomaterials and AI-driven process optimization. He co-developed a protein-reconstructed artificial skin with Procter & Gamble—taking the project from protein selection and sensor integration to scalable production protocols and quality control—demonstrating both lab-to-manufacturing execution and industry partnership. Complementing his materials expertise, he has built and deployed deep learning models (Transformer, LSTM, CNN, SVR) for financial forecasting and biomedical tasks, using SHAP for interpretability and managing large historical and real-time datasets (see SP500-Forecasting-via-Transformer-LSTM). Now based in Singapore and exploring reinforcement learning, he applies mathematical modeling and ML to optimize vapor etch processes and other semiconductor workflows at Micron. His uncommon combination of hands-on wet lab scale-up, sensor-informed ML, and business-incubation experience makes him effective at turning research prototypes into industry-ready solutions.
9 years of coding experience
Bachelor of Applied Science - BASc, Metallurgical Engineering, 92.06/100, Bachelor of Applied Science - BASc, Metallurgical Engineering, 92.06/100 at 中南大学Doctor of Philosophy - PhD, Materials Science and Engineering, 4.67/5.00, Doctor of Philosophy - PhD, Materials Science and Engineering, 4.67/5.00 at Nanyang Technological University Singapore
Github Skills (12)
machine-learning10
deep-learning10
python10
data-science9
tensorflow9
neural-network9
ml8
deep-neural-networks8
vue2
javascript2
markdown1
backend1
Programming languages (1)
Github contributions (5)
mnist-plus/mnist_plus
Jul 2018 - Jul 2018
Contributions:1 commit, 1 push in 1 day
1160300630/cs131
Mar 2018 - Oct 2018
Contributions:18 pushes, 1 branch in 7 months
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