Tom Overman

Tom Overman is a Machine Learning Research Scientist at Epsilon, where they lead research initiatives focusing on optimization and machine learning. They earned a PhD in Applied Mathematics from Northwestern University, where they also worked as a Teaching Assistant for a Generative AI course and conducted extensive research. Previously, Tom held notable roles such as Software Developer at Planet Access and Data Science Student Consultant at McKinsey & Company. Tom's educational background includes a Master's degree in Applied Mathematics and dual Bachelor's degrees in Bioengineering and Mathematics from The University of Texas at Arlington, both with a perfect 4.00 GPA.