~
$ whoami

Michael Fairley

Machine Learning Engineer

Building something new.

Five years experience at Uber building production systems for pricing, marketplace, and rider-experience problems.

Before that, a PhD at Stanford in Management Science & Engineering, where I worked on operations research for healthcare.

Uber

$ cat work/uber.md
# 2021 — 2025
company
Uber
last role
Senior Software Engineer (Machine Learning)
period
2021 — 2025 · San Francisco / Remote
summary
Mobility marketplace pricing algorithm design and implementation

Featured Projects

[01]

Price Lock Pass

2025

Led the design and implementation of the algorithm behind Price Lock Pass — a subscription that lets riders purchase price protection on any route in eligible cities.

pricing optimization machine learning theverge.com ↗ (opens in new tab)

Stanford University

$ cat edu/stanford.md
# 2015 — 2021
school
Stanford University
degree
PhD, Management Science & Engineering
period
2015 — 2021 · Stanford, CA
summary
Operations research applied to healthcare

Featured Publication

[01]

Surveillance for endemic infectious disease outbreaks: Adaptive sampling using profile likelihood estimation

2022

Developed a new algorithm for adaptively finding disease outbreaks with limited testing resources

change-point detection adaptive sampling Statistics in Medicine wiley.com ↗ (opens in new tab)
[02]

Cost-effectiveness of opioid use disorder treatments

2021

Winner of Tufts-CEVR's 4th Annual Cost-Effectiveness Analysis Paper of the Year Award for the most impactful cost-effectiveness analysis in the past 2 years.

simulation cost-effectiveness analysis JAMA Psychiatry jamanetwork.com ↗ (opens in new tab)

University of Auckland

$ cat edu/auckland.md
# 2010 — 2014
school
University of Auckland
degree
Bachelor of Engineering (Honours), Engineering Science
period
2010 — 2014 · Auckland, New Zealand

Open source

$ ls oss/
# open source

Contact

$ cat .contact
# end of file
$ logout
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