Summary
Vinay Swamy is a PhD student in Biomedical Informatics at Columbia University with nine years of experience applying machine learning to biological problems, co-advised by Mohammed AlQuraishi and Raul Rabadan. His research spans biomolecular structure prediction, transcriptomic representation learning, and modeling high-throughput drug screens in glioblastoma, combining computational rigor with domain knowledge in genomics. He has built robust, scalable Snakemake pipelines for bulk, single-cell, and long-read RNA-seq at the NIH and teaches practical data visualization and ML workflows, reflecting strong pedagogy and reproducible-computing practices. Comfortable translating biology into production-ready analyses, he also designs interactive R-based workshops and custom computing environments to help others produce publication-quality figures.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Biochemistry, Bachelor of Science - BS, Biochemistry at University of California, Los Angeles