About

I trained as an electrical and computer engineer and spent three years on the technical staff at MIT Lincoln Laboratory doing radar and sensor signal processing, finishing my master’s at the same time. That is where I learned to think about signal: how you pull a real one out of a noisy, nonstationary series, and how much of what looks like structure is an artifact of the measurement. Then I took it to the buy side as a quantitative researcher and developer at GMO, building models portfolio managers actually traded.

GMO did not mind outside work as long as the work got done, so I also joined a friend’s startup, Vizit, as principal data scientist, and started the Chicago Booth MBA around the same time. Vizit was computer vision applied to a commercial question: not whether an image is good, but how a particular image performs with a particular audience.

Since then the work has been variations on one problem: matching a person to a thing, under a constraint, with incomplete information. Ticket pricing on a national two-sided marketplace at Ticketmaster. Loyalty and lifetime-value modeling across a luxury retail portfolio at Caruso. An AI clinical-intake agent and the human handoff around it at Sully. The constant underneath all of it is Katch, which I co-founded in 2018 and still run as CTO. We built a content intelligence platform that decomposes film, television, social, music, and books into machine-comparable attributes, and six products on top of it, now in production with Warner Bros. Discovery, AMC, Meta, Paramount, and Omnicom.

Today I also advise the Chief Information Officer of the U.S. Department of the Treasury on enterprise AI architecture, and lead the revamp of IRS2Go, which is the rare consumer product with a user base of every American taxpayer and no option to churn. The questions there are the ones large institutions actually face: how language models, retrieval systems, and agentic tooling get deployed, governed, and scaled by an organization with real constraints and real accountability.

Before any of it, I was a U.S. Marine. I deployed to Iraq and led teams of more than twenty Marines. It is the reason I am comfortable with ambiguity and unimpressed by urgency for its own sake.