Summary
John Wu is a Ph.D. student at UIUC specializing in AI for healthcare with six years of experience building research-grade software and applied ML solutions. He has blended academic rigor with industry exposure—contributing mechanistic parameter-estimation tools for single-cell models at Nationwide Children’s Hospital and interning as an Applied Scientist at Amazon. His work spans bioinformatics, model benchmarking, and embedded firmware, evidenced by a public BioNetGMMFit repository and publications tied to model commons and AAAI. Comfortable moving models from prototype to production, he combines statistical modeling, optimization, and systems engineering to reduce bias in biological inference. Based in Champaign, John brings a rare mix of hands-on coding, reproducible research practices, and domain knowledge in mathematical immunology.
6 years of coding experience
3 years of employment as a software developer
CS PhD, CS PhD at University of Illinois Urbana-Champaign
Bachelor of Science - BS, Computer Science and Engineering, Bachelor of Science - BS, Computer Science and Engineering at The Ohio State University