My computer science studies at ETH Zurich sparked my interest in AI and its potential applications. This led me to research and teaching positions at both ETH Zurich and Stanford University, where I worked on machine learning projects in self-supervised named entity disambiguation, contrastive learning, and healthcare.
The entrepreneurial mindset has been a part of me from an early age. It inspired me to join the ETH Entrepreneur Club during my studies and led me to pursue my own entrepreneurial journey afterward.
Outside of work, I love pushing boundaries, whether through ultra trail running or AI projects. I believe in growth through challenge, and I apply that mindset to everything I do.
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.