Summary
Jason Rute is an AI scientist with a decade of experience bridging rigorous mathematics and applied data science to teach machines how to reason, particularly in mathematical domains. With a PhD in Mathematical Science from Carnegie Mellon and postdoctoral work at the MIT‑IBM Watson AI Lab and IBM’s Mathematics of AI group, he built state-of-the-art neural theorem-proving models for Coq and led research into algorithmic randomness. He has moved fluidly between industry and academia—driving production data science at CiBO Technologies (including a proprietary crop productivity score) and shipping research-grade AI at Mistral AI—while also tutoring and teaching advanced math topics. Based in Waltham, MA, he combines deep theoretical insight with practical engineering chops in Scala, Bayesian methods, and ML model calibration. Notably, his background in pure math informs a rare focus on mechanized reasoning that helps push formal methods into real-world AI systems.
10 years of coding experience
12 years of employment as a software developer
Bachelor of Science (B.S.), Mechanical Engineering, Mathematics, Philosophy, Bachelor of Science (B.S.), Mechanical Engineering, Mathematics, Philosophy at University of Wisconsin-Madison
Doctor of Philosophy (PhD), Mathematical Science, 4.01, Doctor of Philosophy (PhD), Mathematical Science, 4.01 at Carnegie Mellon University