Peter Frazier

Associate Professor at Cornell, Staff Data Scientist and Data Science Manager at Uber

Peter Frazier is a prominent figure in the fields of operations research and machine learning, with a dual career in academia and industry. He holds the position of Eleanor and Howard Morgan Professor in the Operations Research and Information Engineering department at Cornell University.1 Simultaneously, he works as a Senior Staff Applied Scientist at Uber.1

Academic Career

At Cornell University, Frazier's research focuses on several key areas:

AI for Science
Bayesian optimization
Multi-armed bandits and incentive design for social learning
Applying machine learning, operations research, and data science to practical problems1

He has been particularly active in COVID-19 related research, contributing to Cornell's Fall 2020 reopening plans and analyzing pooled testing strategies.1

Industry Experience

Frazier's work at Uber has been significant:

He has held the position of Staff Data Scientist and Data Science Manager for UberPOOL.2 3
From 2015 to 2017, he focused specifically on UberPOOL, Uber's carpooling service.2 6
His role at Uber involves running data science for the UberPOOL division.4

Education and Achievements

Peter Frazier received his Ph.D. in Operations Research and Financial Engineering from Princeton University.5 His expertise has led to numerous publications and presentations in his field, including tutorials on Bayesian optimization and grey-box Bayesian optimization.1

Current Status

As of the most recent information available, Frazier is on leave from Cornell University to work at Uber.2 6 He continues to remotely advise his Ph.D. students at Cornell while based in San Francisco for his work with Uber.4

Peter Frazier's unique position at the intersection of academia and industry allows him to apply advanced research techniques to real-world problems, particularly in the realm of ridesharing and transportation logistics.