Summary
Benson Chong is a computational biologist with 10 years of cross-disciplinary experience applying bioinformatics, machine learning, and engineering practices to biological problems. Based in Portland and currently at Oregon Health & Science University, he has moved from lab bench work in yeast and stem cell transcriptomics to building optimization and federated-learning pipelines for cancer genomics. His background blends a BS in Biochemistry and Molecular Biology with an MS in Bioinformatics, and includes building ML-driven quality control tools for food and beverage industries and SAS-based fraud detection early in his career. Notably, he developed a parallelized hyperparameter tuning approach for Bayesian networks aimed at federated learning, reflecting a practical focus on scalable, privacy-aware models.
10 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Bioinformatics and Computational Biology, Master of Science - MS, Bioinformatics and Computational Biology at Oregon Health & Science University
Bachelor of Science (B.S.), Biochemistry and Molecular Biology, Bachelor of Science (B.S.), Biochemistry and Molecular Biology at Penn State University
English, Chinese