Agentic AI for life sciences

Useful, not clever.

I help life sciences leaders turn the noise around agentic AI into a practical plan that helps their teams innovate faster.

If AI is showing up everywhere, the board is asking what you are doing about it, and the current strategy is mostly handing out tools and hoping for the best, I can help you figure out what actually matters.

See how I can help See what I've built

Why me

I have had to make this stuff work in real diagnostics products.

I have spent 16 years at the intersection of molecular diagnostics, bioinformatics, software, data science, product development, and intellectual property.

Zero to one, twicePrincipal computational lead from inception through launch for PCM at Invitae and Guidepoint at Adela.

Diagnostics, not demosSolid tumor, liquid biopsy, MRD, companion diagnostics, regulated software, LIMS, and clinical evidence.

Wet lab + computationFor Adela's next-generation platform, my role expanded into assay design and wet-lab development.

IP and inventionPatent strategy, invention capture, counsel management, and named inventor work across three public US patent families.

How I help

Cut through the AI noise. Give your best people more leverage.

Start with the business and the science

What are you trying to accomplish, where are people losing time, and which problems are actually worth solving?

Turn scattered experiments into a plan

Move from isolated tools, token budgets, and one-off pilots to a small set of priorities that fit your company, your data, and your risk tolerance.

Use AI to accelerate innovation

Reduce the friction around knowledge, software, analysis, and coordination so scientists and product teams can spend more time improving assays, products, and decisions.

Build with discipline

Use the smallest thing that works, measure whether it helps, and leave ownership inside the company instead of creating another dependency.

The goal

Magnify the talent you already have.

Life sciences companies are full of people who know how to invent diagnostics, discover biology, run laboratories, build products, navigate regulation, and make hard scientific decisions. My role is to be a pragmatic guide through the AI noise and help put this technology to work around them.

The technology should help your people get to better science and better products faster.