AI systems for scientific discovery

Acting under uncertainty

There are no guarantees in science, nor in life, yet you still have to make choices. That's the challenge I build for - systems that help you make the best decisions possible given incomplete information. My work lives at the reasoning layer: turning complex, insufficient evidence into decision-grade substrate.

I'm a software engineer with 25 years of shipping, but philosophy is my first love. I trained in it alongside neuroscience, and I bring a systems-level, first-principles way of thinking to the design of scientific tools and programs.

Raising a child with a rare disease teaches you many things, not the least that if the answers don't exist yet, you have to find them yourself. So I'm building a decision-intelligence platform for running translational research programs — and proving it on a real one: I founded the CURE5 Foundation to accelerate therapies for CDKL5 Epilepsy, and I run its portfolio across AI-driven drug repurposing, cortical-organoid screening, iPSC development and small-molecule discovery, with Harvard, Boston Children's Hospital, BrainStorm Therapeutics, Unravel Biosciences and other labs.

Earlier I shipped FDA-cleared software for seizure detection and built real-time data systems now permanently installed at the 9/11 Memorial Museum. I also work with early-stage biotech and health-AI companies as a fractional CTO, helping them design their translational programs and architect the AI systems that will run them.