Mingwei Ge

Research Assistant at Yale University

New Haven, Connecticut, United States
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Summary

👤
Senior
🎓
Top School
Mingwei Ge is a research-driven scientist-engineer with eight years of experience at the intersection of chemistry, physics, and machine learning, currently pursuing a PhD in Electrical Engineering at Yale. He develops and applies computational and experimental techniques—ranging from ab-initio calculations and transient spectroscopy to graph neural networks and active learning—to advance organic-inorganic hybrid semiconductor photodetectors and spin dynamics studies. His work spans academic and industry settings, including a Samsung internship where he built generative models to design TADF molecules for OLEDs by coupling GNNs with DFT and post-HF calculations. Based in New Haven, he blends hands-on lab skills with ML-driven model development to solve materials challenges, often integrating full-stack workflows that accelerate discovery and device optimization.
code8 years of coding experience
job2 years of employment as a software developer
bookBeijing Huiwen Middle School
bookBachelor of Science - BS, Chemistry, Bachelor of Science - BS, Chemistry at Nankai University
bookDoctor of Philosophy - PhD, Electrical Engineering, Doctor of Philosophy - PhD, Electrical Engineering at Yale University

Programming languages (1)

HTML

Github contributions (5)

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ccpcc/dota2_predictor

Aug 2020 - Feb 2021

Contributions:10 commits, 9 pushes, 1 branch in 6 months
ccpcc/family_file_server

Aug 2017 - Apr 2021

Contributions:9 pushes, 3 branches in 3 years 8 months
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