Summary
Thomas Gebhart is a Senior Research Scientist and Lecturer at the University of Minnesota with 11 years of experience at the intersection of academia, quantitative finance, and national labs. He blends deep technical research—culminating in a PhD in Computer Science—with hands-on quantitative development work from roles at X Cubed Capital and Whitebox Advisors, enabling practical translation of novel algorithms into production systems. His background includes R&D at Sandia and project work for NASA, reflecting comfort with high-assurance, mission-driven engineering. Based in Minneapolis, he teaches while continuing applied research, signaling both communication skill and commitment to training the next generation. An uncommon strength is his cross-domain fluency in mathematics, economics, and CS, which lets him tackle problems from model theory through deployment.
10 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Mathematics, Economics, Bachelor's degree, Mathematics, Economics at University of Minnesota
Chinese, Spanish