Summary
Paul Gauthier is a Senior Research Scientist with 12 years of experience turning complex business problems into rigorous, scalable models that leverage statistical modeling, information management, and formal logic. Currently at Upstart after leading data science at Zoro US, he blends hands-on systems programming instincts (Rust/Go/C++) with applied research to deliver production-ready ML and decision systems. His background spans software engineering and systems leadership at McMaster-Carr and research at Inria, giving him a rare mix of production discipline and academic depth. He holds advanced degrees from Carnegie Mellon (MBA) and UIUC (MSIM) and an unusual PhD in Cuneiform Studies from the University of Chicago, which speaks to his aptitude for formal reasoning and deciphering complex, structured information. Based in Chicago but with international roots, he favors low-level, performant implementations and pragmatic architectures that make sophisticated models operational. Colleagues value him for bridging domain knowledge and formal methods to produce auditable, business-aligned solutions.
12 years of coding experience
8 years of employment as a software developer
Master of Business Administration - MBA, Master of Business Administration - MBA at Carnegie Mellon University - Tepper School of Business
PhD (with honors) Cuneiform Studies, PhD (with honors) Cuneiform Studies at University of Chicago
Wheaton North High School
Master of Science in Information Management, Master of Science in Information Management at University of Illinois Urbana-Champaign
Bachelor of Arts (BA) Mathematics Classical Studies, Bachelor of Arts (BA) Mathematics Classical Studies at Vanderbilt University
English, akkadian, German, French, Italian, Spanish, sumerian, Latin, Greek, classical chinese