Summary
Michael Fairley is a machine learning leader and PhD-trained operations researcher who builds data-driven products that scale—from welfare-changing health policy research cited in U.S. legislation to production ML systems used across hundreds of cities. As Uber’s pricing and marketplace lead, he designed deep-learning pricing models and policy frameworks that drove over $100M in annual incremental bookings, reduced millions of complaints, and powered flagship products like Price Lock Pass. Now co-founder and CTO at a stealth startup in Madison, he combines causal inference, optimization, and production ML tooling experience to ship high-impact features end-to-end. Notably, his academic work informed national clinical guidelines and earned recognition as the most impactful cost-effectiveness paper in health policy in 2022, reflecting a rare blend of rigorous research and product execution.
11 years of coding experience
7 years of employment as a software developer
High School, High School at Christ's College, Canterbury
Bachelor of Engineering (Honours) Engineering Science, Bachelor of Engineering (Honours) Engineering Science at University of Auckland
Doctor of Philosophy (Ph.D.) Management Science and Engineering, Doctor of Philosophy (Ph.D.) Management Science and Engineering at Stanford University