Summary

Responsible AI Researcher focusing on fairness, but with skills across machine learning, micro-economics, and finance.

Current Position

MetaResearch Scientist
2018–present
  • Developed SOTA calibration-based recommendation based fairness metrics, and applied them to internal systems.
  • Researched, created, and deployed state-of-the-art large-scale sparse user-author-content models across Instagram, Integrity, Content-Understanding, and more.
  • Developed transformer-based two-tower user-content models for cold-start unconnected content discovery that achieved half of our topline goals.
  • Led ongoing project to learn hierarchical structure on top of existing user-content modeling.
  • Advised two PhD interns on successful internship projects, resulting in accepted return offers.

Education

PhD in Computer Science and Engineering
Magna cum Laude

Understanding Financial Market Behavior through Empirical Game-Theoretic Analysis

BS in Systems Science
Magna cum Laude

Selected Publications

Info

/ˈɛrɪk/
he/him

Skills

Expert
python
numpy
scipy
pytorch
Proficient
jax
sql
Competent
scikit-learn
bash
rust
java
c++11
lua
typescript
Novice
hack
haskell
broomball

Affiliations

Wash U LogoAPL LogoLincoln Lab LogoUniversity of Michigan LogoUpwork LogoYelp LogoMeta Logo