Summary
Matthew Cornell is a seasoned senior research software engineer with over two decades of experience building production-grade systems across desktop, web, and cluster environments, currently focused on biostatistics and infectious disease forecasting at UMass Amherst. He architects and implements end-to-end solutions—APIs, data pipelines, databases, visualizations, and scalable web apps—most recently building and scaling the Django/Postgres-based Zoltar forecasting repository to hundreds of millions of rows. Language-agnostic and pragmatic, he programs primarily in Python but brings deep experience in Java, Scala, JavaScript, and SQL, and has written compilers, simulators, ML algorithms, and authoring tools. A longtime advocate of engineering discipline, he has coached teams in Extreme Programming, instituted CI and robust development practices, and saved operations costs through thoughtful infrastructure consolidation. Beyond hands-on engineering he pursues creative research and public-facing projects—from an NLP skeptical toolbox to a weather web app—and has published professionally, blending rigorous academic thinking with practical production delivery.
11 years of coding experience
19 years of employment as a software developer
University of Massachusetts Amherst
Bachelor's Degree, Electrical Engineering, Bachelor's Degree, Electrical Engineering at Bradley University