Founding product hire at Vial, APM to VP in four years. Built the eClinical platform from zero — EDC, RTSM, portals — for patients, sites and monitors, then the AI tooling that runs on top of it. Before that: oncology research coordinator on CAR-T and immunotherapy trials at UCSF and MGH.
The 4pm Slack reply, the ticket, the tradeoff explained to a coordinator — that is what people experience of a PM. I write clearly, early, and to whoever has to act.
The question I ask most, and the easiest to avoid. If the honest answer is a shrug, I stop, say so, and redirect the effort.
Reason from what the trial, the site or the company actually needs — not from the roadmap, and not from what a vendor happens to do.
Oncology research coordinator on CAR-T and immunotherapy trials: consenting patients, chasing queries at 7pm on Fridays, learning exactly what a badly designed eCRF costs a site. Every product decision since has been a vote for the person entering the data. Underneath every title since is the same commitment: changing how core healthcare is delivered, industry-wide. It is the work I have given my life to, and the work I intend to keep giving it to.
Before a drug reaches a patient it generates thousands of assay rows nobody has time to clean.
The part of the pipeline where the software is regulated, the people are tired, and every field has a reason.
AI that touches trial data has to earn it. Mine keeps a human in the loop until it does.
Oncology research coordinator on CAR-T and immunotherapy trials: consenting patients, chasing queries at 7pm on Fridays, learning exactly what a badly designed eCRF costs a site. Every product decision since has been a vote for the person entering the data. Underneath every title since is the same commitment: changing how core healthcare is delivered, industry-wide. It is the work I have given my life to, and the work I intend to keep giving it to.
Before a drug reaches a patient it generates thousands of assay rows nobody has time to clean.
The call Flag, don't fix — the pipeline surfaces, the scientist decides.
The part of the pipeline where the software is regulated, the people are tired, and every field has a reason.
The call Build, not buy — but only what had to be ours.
The call Automate the chore, keep the human signature.
The call Slower merges, faster trials.
AI that touches trial data has to earn it. Mine keeps a human in the loop until it does.
The call Tuned for misses, not noise — decision support, not decisions.
The call Drafts you can argue with, not documents you have to trust.
I don't hand problems to a backlog. I sit with the coordinators and monitors, then build — and most of what I build runs in production the same month.
I sit in the standup, read the queries, and ship the fix that week. The roadmap is written in the site's problems, not in a slide.
Regulated AI starts assistive. Override rate is a feature, and autonomy is something a system graduates into with evidence.
A ticket precise enough for an AI agent to implement is a ticket precise enough for anyone. One engineer reviews; the team's hours go to judgement.
The release isn't done until the package is signature-ready. Documentation that lags the code is a bug.
How it actually shows up in a day — not a strategy, a habit.
A skill has already posted the daily market briefing to Notion. I read it; I didn't write it.
Standup. Two tickets specified tightly enough that a coding agent implements them; one engineer reviews by lunch.
A question comes up about enrolment. I write the SQL myself in Metabase and answer it in the thread, with the chart.
The clinical monitor has drafted this week's findings from the EDC. I review the overrides, not the records.
Prototype a new payment-milestone flow in an afternoon with Claude. The screenshot goes to ops and design to decide, not to debate.
Draft the weekly readout from Linear and the deployment log with a skill. I edit the judgement, then ship it.
A gifting brand for Indian weddings and festivals — welcome bags first, Holi and Diwali next.
Silk headscarves. Monsoon-named.
A collection, written in the long shadow of Tagore and Rumi.
Experiments in letting a model hum and a human arrange.
Open to Director / Head / VP of Product roles in clinical-trial tech, eClinical, digital health and life-sciences tooling. Remote US, NYC or the Bay Area.