about

Grew up in Franklin, TN. Now based in Boston, MA.

Bought my first microscope at five. Had a lab position at Lipscomb by ten. I've always wanted to understand how things work, then make them work better.

In high school, I did drug research at Vanderbilt (horseradish peroxidase, NSAID inflammation) and built a cardiac rehab program at Vanderbilt Medical Center. Around the same time, I started working as a pharmacy technician. That's when I started thinking about computational approaches to drug discovery.

I also started a consulting practice around this time, working with everyone from biotech to quant finance clients. Scaled it to six figures, managed 13 contractors over the years. That work reinforced something: I wanted to apply computational approaches to science, not just build tools for other people doing it.

That led me to self-design my major at Northeastern: CS, biochemistry, and physics mashed together. Full-ride Stamps Scholar, plus a dozen other awards.

Then: research at Harvard Med and Northeastern (ion channels, molecular dynamics simulations) I noticed how much of science was bottlenecked by manual iteration, not ideas. So I built a drug discovery automation startup: lab-in-the-loop, end-to-end bioinformatics, real-time inference. It got acquired!

Somewhere in between: built the life sciences vertical at an AWS Premier Partner, and started running rev (Northeastern's builder community).

Now I'm at Lila Sciences building the orchestration layer for scientific superintelligence, the systems glue between hardware, robotics, and platform.

My goal is continuing to build in physical AI: systems where software actually interacts with and learns from the real world. I lean towards techbio, but I'm starting to venture beyond...

Also into: Paris Texas, Odd Future, Patrick Ness, Matisse, Toulouse-Lautrec, UTK Vols, Dallas Cowboys.

Always down to talk. Reach out!