Tom is the Chief Executive Officer and co-founder of R2DIO, Inc. His inspiration to create R2DIO was his realization that every company he had worked with lacked effective tools and training for sustaining high signal-to-noise ratios throughout their data-driven journey from early to late stages of commercialization. Tom's innovative and proven approach to making experiments more reproducible, manufacturing operations more predictable and AI more reliable, which is based on widespread statistical process control methodologies, became the basis for R2DIO's solutions.
Before co-founding R2DIO, Tom was a leading scientific and statistical consultant to the industrial biotechnology sector, advising companies ranging in size from startups to Fortune 500 enterprises. Since 2021, he has served as a guest lecturer at the University of California Berkeley, where he teaches how to improve all aspects of data quality to students in the school's Master of Bioprocess Engineering program. Highlights of his previous industry experience include roles at Zymergen, where he was the company's first Director of Test Operations, and at Amyris, where he served as a Principal Quality Engineer in Manufacturing and a Senior Scientist in R&D. Prior to his career in industry, Tom developed high-throughput screening methods as a post-doctoral protein engineer at Caltech, earned a Ph.D. in Biophysical Chemistry at Stanford, and earned a combined B.S./M.S. degree in Chemical Physics at Yale.