Summary
Nam Nguyen is a Lane Fellow in Computational Biology at Carnegie Mellon University with a PhD in Computer Science from Stony Brook and eight years of experience designing machine learning methods for genomics, cancer, and brain disorder research. He specializes in machine learning on graphs and manifolds and has developed scalable Python/PyTorch pipelines and R/Python packages that translate advanced theory—like multiview ERM and Riemannian SGD for manifold alignment—into high-performing, deployable tools. His work spans NIH- and DOE-funded projects, single-cell RNA-Seq analysis, and practical competitions (top 22% on Kaggle), reflecting both rigorous research and application-driven engineering. Comfortable moving models from theory to production, he combines deep mathematical insight with hands-on software craftsmanship to improve genotype–phenotype prediction in complex biological systems.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering - BE, Computer Science, GPA: 3.16/4.00, Bachelor of Engineering - BE, Computer Science, GPA: 3.16/4.00 at Hanoi University of Science and Technology
Doctor of Philosophy - PhD, Computer Science, GPA: 3.84/4.00, Doctor of Philosophy - PhD, Computer Science, GPA: 3.84/4.00 at Stony Brook University
Vietnamese, English, French