From hypothesis to real users in 14 days. We build, measure, and make honest ship-or-kill decisions — no committees, no sunk costs.
Time-box everything. If it takes longer than two weeks, scope is wrong.
4 experiments shipped, avg 11-day cycle
If you can't explain the hypothesis in one sentence, you don't understand it yet.
Every experiment starts with a one-page brief
AI writes the first draft, reviews the PR, and challenges assumptions. Humans make the final call.
Claude-assisted across code, copy, architecture, and decisions
Every experiment has kill conditions defined upfront. When the numbers say stop, we stop.
Pre-registered kill criteria on 100% of experiments
“The goal is not to build things. The goal is to learn whether things should be built.”
VP of Engineering leading teams that build AI platforms, ML models, and provider-facing apps serving thousands of healthcare practices. Before that, I rose from engineer to VP at a venture studio where we built and scaled companies across energy, healthcare, and enterprise sales. Co-founded a healthcare software company. MS and BS from Johns Hopkins — distributed systems and machine learning.
Gerner Ventures is where I apply everything I've learned about building AI products at scale to my own experiments. Every idea gets a 14-day trial: build it, measure it, ship it or kill it. No committees, no sunk-cost fallacy. I've watched too many good ideas die in planning and bad ideas survive on momentum — this is my answer.
VP Engineering · Venture Studio Alum · Johns Hopkins MS/BS · AI Platforms · Healthcare Tech
Whether you're exploring a partnership, have an experiment idea, or just want to compare notes on building things — I'd love to hear from you.
Especially interested in: AI applications, developer tools, and anyone running their own experiments.