I've always been drawn to using technology to build things. That's what pulled me into machine learning research, first at ETH Zurich and later at Stanford University. It's also what pushed me into building ventures, starting with the ETH Entrepreneur Club: first organizing events for 1,500+ people, then running the club itself with its 50+ members and 25+ startups under one roof. That same drive carried through my career, and now runs through my work as Chief Product Officer at Saipient, where our AI is cutting down doctors' administrative work, giving them that time back for patients instead of paperwork.
Experience
Leading the product vision, strategy, and innovation for AI-powered healthcare solutions that cut doctors’ administrative burden by 75%, enabling them to dedicate more time and attention to patient care.
Launched the Inventory Forge initiative, where we leveraged machine learning to predict viewer behavior, develop new targeting capabilities, and optimize ad yield.
Directed business development strategies, driving initial customer acquisition and fostering partner relationships.
Held workshops and weekly exercise sessions, while taking charge of grading of exam exercises.
Led a team of 50+ members, supporting 25+ startups in our co-working space.
Organized events with up to 1500+ attendees, across 2 continents.
Conducted market and technology research, and led rapid prototyping of mobile applications.
Served in the Swiss Military as a troop leader for 300 consecutive days.
Education
Master’s thesis “Early Detection of Maternal Morbidities in Pregnancy Using Machine Learning”, advised by Prof. Nima Aghaeepour (Stanford), Prof. Ivana Maric (Stanford), and Prof. Valentina Boeva (ETH Zurich).
Machine Intelligence (Major), Data Management (Minor). Relevant coursework includes Probabilistic Artificial Intelligence, Algorithms Lab, Natural Language Processing, Advanced Topics in Machine Learning, and Machine Learning in Health Care.
Relevant coursework includes Advanced Machine Learning, and Introduction to Machine Learning.