Summary
Ben Tofflemire is a pipeline scientist and astronomer with eight years of experience applying statistical and data-driven methods to TB-scale astronomical datasets, currently working with NASA Ames and the SETI Institute. He designs and implements production-ready Python pipelines and open-source tools (e.g., SAPHIRES, FriendFinder) that combine Bayesian inference, MCMC, Gaussian processes, and parallel computing to study young stars, binary interactions, and planet formation. Ben led the discovery of one of the first young transiting exoplanets from TESS, has 30 publications including multiple first-author papers, and has raised over $600k to fund research programs. He mentors and manages undergraduate teams from idea to publication and translates complex results into accessible visualizations and public outreach. Based in Portland, he is now seeking to transfer his expertise in large-data inference and reproducible pipeline engineering into industry problems that demand timely, high-impact analytic insights. An underappreciated strength is his track record of turning research code into well-documented, reusable packages that accelerate team productivity.
8 years of coding experience
15 years of employment as a software developer
Bachelor's degree, Physics, Astronomy, Bachelor's degree, Physics, Astronomy at University of Washington
Doctor of Philosophy - PhD, Astronomy, Doctor of Philosophy - PhD, Astronomy at University of Wisconsin-Madison