I'm on the founding team of Goodfire, an AI research lab focused on interpretability - understanding how neural networks work from the inside out. As Head of Product, I lead a team applying interpretability research to fundamentally change how we develop and deploy language models.
Previously, I built large-scale simulation modeling infrastructure as a quant engineer and product lead at Two Sigma. I hold an MBA and MS in Computer Science from Stanford and a BS in Computer Science from Columbia (summa cum laude).
I live in San Francisco, but often spend time in Cambridge and New York.