James Michelson Headshot

James Michelson

I am a research scientist and machine learning engineer with over a decade of experience across academia and industry. I have expertise in auction design, forecasting, machine learning platform engineering, survey design, and AI safety, with a focus on developing novel algorithms and building complex systems. I'm looking for exceptional opportunities to transform science and build a better world. My resume is here.

I recently completed my PhD in Logic, Computation and Methodology at Carnegie Mellon University. My primary areas of research were in auction design and philosophy of science. I previously spent a number of years in political analytics as a data scientist and software engineer, working for Civis Analytics, Priorities USA, and Vote Compass. I completed my BSc in Government at The London School of Economics and Political Science and my MA in Political Science at the University of Toronto.

I like to cook. My recipes are here.

Working Papers

Optimal Multi-Dimensional Auctions: Conjectures and Simulations
Alexey Kushnir, James Michelson

Reflexive Measurement
James Michelson

Developing a Philosophical Framework for Fair Machine Learning: Lessons From The Case of Algorithmic Collusion
James Michelson

Popular Writing

The Joys of Reading Python Source Code
James Michelson
Civis R&D Bookshelf, 2017.

Miscellaneous

How To Legally Play Poker (If You Must) In The United States
James Michelson