Summary
Pengyu Chen is a Data and Modeling Scientist at Procter & Gamble with nine years of experience bridging materials science and machine learning to accelerate molecular design and automation. He earned a PhD in Materials Science and Engineering from the University of Minnesota, where his graduate research combined polymer field theory, self-assembly, and ML to model complex soft-matter behavior. Prior roles include hands-on microscopy and zeolite work at ShanghaiTech and international research at the University of Sydney, plus a recent data science internship at Dow, reflecting fluency across experimental and computational domains. Based in Cincinnati, Pengyu brings a rare blend of deep domain knowledge and production-focused AI skills, often translating theoretical models into practical simulation and data pipelines. His GitHub motto, 鹏程万里,扶摇天地, hints at a long-range, ambitious approach to scientific impact and cross-disciplinary collaboration.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Materials Science and Engineering, Doctor of Philosophy - PhD, Materials Science and Engineering at University of Minnesota
Bachelor of Science - BS, Chemistry, Bachelor of Science - BS, Chemistry at Shanghai Jiao Tong University