Summary
Min Lin is an AI R&D Scientist with ~8 years blending deep academic chemistry experience and 4 years of focused ML research and engineering, currently building production ML for energy at a stealth startup in Singapore. He specializes in AI for science—combining wet-lab intuition, graph and equivariant neural networks, and software engineering to accelerate drug discovery and physical simulations. At QDX he led teams to productionize multiple ML models rapidly, created a 500+ GPU pipeline to generate high-fidelity quantum datasets, and delivered >1000x speedups that saved significant compute costs. He contributed first-author research at MIT on semi-supervised GNN re-ranking for synthesis planning and open-sourced the code, demonstrating both academic rigor and production impact. Min mentors juniors, writes extensive documentation to scale team knowledge, and balances curiosity-driven learning with practical delivery—he’s also an avid photographer and Korean-language learner.
8 years of coding experience
6 years of employment as a software developer
BS (Top student out of 300+) Chem | Deep Learning | Biology, BS (Top student out of 300+) Chem | Deep Learning | Biology at Nanyang Technological University Singapore
Bachelor of Science - BS AI in Chemistry, Bachelor of Science - BS AI in Chemistry at CN Yang Scholars Programme
GCE A Levels, GCE A Levels at Victoria Junior College
Master's Computer Science, Master's Computer Science at Georgia Institute of Technology
GCE O Levels, GCE O Levels at Victoria School (Singapore)
Bachelor of Science - BS Chemistry, Bachelor of Science - BS Chemistry at University of Waterloo
Korean, German, English, burmese (myanmar)