Summary
Emery Goossens is a founder and machine learning scientist with a decade of experience applying statistics and ML to biological data, from single-cell RNA-seq to precision oncology. After earning advanced degrees in statistics and mathematical statistics, he honed practical skills at Illumina, Recursion, Tempus, and as Senior ML Scientist at Foresite Labs, where he focused on thoughtful modeling, rigorous validation, and clear communication of biological insights. He now leads a stealth startup aiming to close the gap between explosive biological data generation and actionable discovery, blending academic rigor from his Ph.D. with startup execution. Known for translating complex experimental design and statistical theory into production-ready pipelines, he’s equally comfortable advising PIs on study design and shipping models that impact human health. Based in Salt Lake City, Emery also consults on ML projects and actively recruits collaborators who want to tackle high-impact problems in biotech.
10 years of coding experience
9 years of employment as a software developer
BA Economics, BA Economics at New York University
Doctor of Philosophy (Ph.D.) Statistics, Doctor of Philosophy (Ph.D.) Statistics at Purdue University
M.Sc. Statistics, M.Sc. Statistics at University of Toronto