Background
Researcher on the fundamentals of data-driven systems, data-centric AI, foundation models and automated ML; 2024 DARPA Young Faculty Award, NSF Graduate Research Fellow. His UW-Madison group co-develops several Snorkel-backed benchmarks.
What they run now
Benchmarks and evaluation methodology for agents: OSWorld 2.0 (Jun 2026), 'Can Generalist Agents Automate Data Curation?' (Jun 2026), 'Models Can Model, But Can't Bind' (COLM 2026), RIFT rubric taxonomy (Apr 2026); steering committee of the $3M Open Benchmarks Grants.
Career
- presentChief Scientist, Snorkel AI
- presentAssistant Professor, Computer Sciences, University of Wisconsin-Madison
On the record
Says the grant projects target the field's hardest evaluation challenges, as AI capability outpaces measurement. source