David J. Lee

Research Engineer at Scale • GitHub • LinkedIn • Email • New York, NY

I'm a research engineer at Scale, where I develop benchmarks to measure LLM capabilities.

Prior to Scale, I was a graduate student at Cornell, where I worked with Kevin Ellis on program synthesis, focusing on synthetic data generation. In particular, I designed algorithms to generate diverse training data for code models, using ideas from novelty search.

Before that, I did my undergrad at Williams, where I worked on filters, concurrency, and knot theory. My thesis was advised by Shikha Singh and Sam McCauley.