I am a research scientist at Meta currently working on LLM safety, but with projects ranging from ML fairness to user representation in recommendation systems. Before joining Meta I completed my PhD in Computer Science at the University of Michigan from 2012 to 2018. There I was advised by Michael Wellman.
My research interests include the incentives and dynamics in complex systems. This relates to embedding learning, user representation, fairness, recommender systems as markets, and general learning.
You can find more information about me via any of the following services:
Thanks to Alison Wilcox for the logo design, Melanie David for inspiring the design of this website, and Sarah Forrest for design guidance.
All project hero images come from Unsplash courtesy of CDC, Matteo Catanese, Jon, Zoltan Tasi, and Daniele Levis Pelusi.