Product discovery when your users are scientists
Scientists are expert users with little time and high standards. Here is how I would adapt product discovery for them, and why the lab's own habits make it easier than you might think.
Technical Product Manager · Data & AI Lead
From the lab bench to technical & data products.
I have more than 10 years of experience in data analysis, data science and data engineering, worked with scientists, engineers, executive directors and regulators, and led data platforms and AI products in a regulated financial-market environment.
- Education
- Dr. Sc. Biophysics, ETH Zürich
- Today
- Data Scientist . Data & AI lead
- Research
- Peer-reviewed work in Science, Nature Cell Biology, PRL
- Focus
- Product lifecycle · Data & AI · Regulated environments
Latest writing
All articlesFocus areas
What I write about
I write about topics at the intersection of science, technical products, data and AI, organized into four tracks.
The science
Science & development
How drugs and diagnostics are made, from discovery and the lab to clinical trials and the patient.
Read articlesThe dataData platforms, GxP, lab & clinical data
Regulated data platforms, data integrity, and the lab, clinical and real-world data that science runs on.
Read articlesThe AIAI in pharma & regulation
Where AI creates value, how to build and evaluate LLM and agent use cases, and how AI is regulated.
Read articlesThe peopleProduct, leadership & strategy
Product craft for scientific users, leading data & AI teams, and developing a credible strategy.
Read articlesLet's talk data, AI and science.
Open to conversations, collaborations and new roles in data & AI product leadership.