Summary
Jonathan Mathews is a data analyst with 11 years of hands-on experience at the intersection of computational biology, machine learning, and data engineering, currently working on omics data for precision medicine at the U.S. Department of Veterans Affairs. He holds a BS in Biomedical Engineering from UT Austin and an MS in Computer Science from Columbia, and has built applied ML workflows—from SVMs and deep neural networks for DNA photophysics to fine-tuning 3D shape embeddings for comparative genomics at Colossal Biosciences. Jonathan combines practical engineering (PowerBI dashboards, data pipelines, scrapers) with research-minded model development, aiming to translate biological insight into conservation and clinical impact. Based in New York but experienced across industry and academia, he brings a rare blend of domain knowledge in biology and strong coding/ML skills, motivated by projects that bridge conservation genomics and translational medicine.
11 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Biomedical/Medical Engineering, 3.95/4.0, Bachelor's degree, Biomedical/Medical Engineering, 3.95/4.0 at The University of Texas at Austin
Master of Science - MS, Computer Science, 3.80/4.0, Master of Science - MS, Computer Science, 3.80/4.0 at Columbia University in the City of New York