Manuel Studer

I lead product at Saipient in Zurich. We're building Isaac, an AI assistant that handles doctors' paperwork so they can spend more time with their patients. My job is figuring out what doctors actually need, deciding what we build, and getting it shipped.

Before that, I studied computer science at ETH Zurich, led the ETH Entrepreneur Club, and wrote my master's thesis at Stanford University on using machine learning to catch pregnancy complications early. After graduating, I joined mimicry as a co-founder. The startup uses AI to replace legacy software. After that, I built machine learning products for advertising at Goldbach. I learned most of what I know on the job, and from the people I worked with.

Outside of work, I run ultra trails. When I started, I couldn't run 5 kilometers without stopping. Now I race 100+ kilometers through the Alps.