The problems worth solving usually involve data that already exists but isn't being used — insights sitting unreviewed, workflows consuming expert time, systems that don't talk to each other.
Across 15+ years in biopharma and life sciences, the work has been the same: find where the value is buried, build something to surface it, and make it stick. From enterprise analytics platforms to production AI systems, the common thread is translating complex data environments into decisions that move organizations forward.
I go deep on the technical work, align stakeholders at any level, and lead the team that delivers.
A multi-stage pipeline that classifies medical field observations against a client's Strategic Medical Plan, generates citation-backed recommended actions per objective, and reports what changed since the last run.
A platform that scrapes 400+ employer career sites daily and surfaces the roles that never make it to the major job boards in time. Built with Ben Greene and Ty Holland after my own job search made the gap obvious.
Owned the full lifecycle of automated reporting — requirements through production publication and daily refresh — across Procurement, Drug Safety, and Quality.
Open to consulting engagements and conversations about data and AI work. The fastest way to reach me is email.