Peter Frazier Eleanor and Howard Morgan Professor Operations Research and Information Engineering Cornell University Senior Staff Applied Scientist, Uber Curriculum vitae

Research

• AI for Science
• Bayesian optimization
• Multi-armed bandits and incentive design for social learning
• Using ML, OR and data science to impact practice (COVID-19 public health response, Uber)

COVID-19

• Analysis for Cornell's Fall 2020 reopening, our Aug 11 Gateway Testing Analysis, and an analysis in response to a question from Assemblywoman Barbara Lifton.
• Safely relaxing social distancing with pooled testing
• Media coverage of our work:
  • Cornell's reopen: Inside Higher Ed, the Wall Street Journal, the Cornell Daily Sun
  • Pooled testing: Forbes, the Cornell Chronicle and ABC News

Selected Presentations

• Bayesian Optimization Tutorial [Video, Paper]
  • INFORMS Tutorials, Nov 2018
• Grey-Box Bayesian Optimization for AutoML & More [Video]
  • ICML AutoML Workshop, June 2019
• Bayesian Optimization for Materials Design and Drug Discovery
  • Michigan State University, Science on the Edge Seminar Series, Oct 2018
• Knowledge Gradient Methods for Bayesian Optimization
  • NIPS Bayesian Optimization Workshop, Dec 2017
• Incentivizing Exploration
  • MIT, OR Center, Feb 2016.

More

• New tutorial on grey-box Bayesian optimization
• Publications
• Presentations
• Group Members
• Introductory Material
• Teaching materials
• Software