Lixue Cheng is a PhD candidate in theoretical chemistry at Caltech with eight years of interdisciplinary experience at the intersection of chemistry, applied mathematics, bioengineering, and computer science. She combines experimental biophysical chemistry—studying Hofmeister effects and solute–biopolymer interactions—with computational methods including randomized SVD and MATLAB-based modeling to predict molecular interactions. Experienced in both bench work and algorithm development, she builds tools that bridge computational and experimental scientists, with a particular focus on AI-for-Science applications. A strong academic record across UW–Madison and Hong Kong Polytechnic, she has a rare blend of deep quantitative training and hands-on lab expertise that enables novel theoretical interpretations grounded in extensive experimental datasets.
8 years of coding experience
5 years of employment as a software developer
Environmental/Environmental Health Engineering, 3.75/4.0, Environmental/Environmental Health Engineering, 3.75/4.0 at The Hong Kong Polytechnic University
California Institute of Technology
Bachelor of Science (B.S.), Major:Biochemistry,Chemistry,Mathematics,Molecular Biology; Certificate:Computer Science, Physics, 3.9/4.0, Bachelor of Science (B.S.), Major:Biochemistry,Chemistry,Mathematics,Molecular Biology; Certificate:Computer Science, Physics, 3.9/4.0 at Univeristy of Wisconsin-Madison
Contributions:5 commits, 4 pushes, 4 branches in 8 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Lixue Cheng - PHD Candidate In Theoretical Chemistry