Stefan shaped his ETH Zurich PhD thesis into VirtaMed, a global leader in surgical training with 130+ employees. He's a winner of the Swiss Economic Award in Hightech/Biotech and a serial winner of most business plan competitions in Switzerland. Before starting Scanvio Medical, he mentored aspiring student entrepreneurs and start-up / scale up companies. Stefan supports strategic research at the ETH AI Center within surgery, medtech and health-related activities.

Fabian finished his PhD Thesis entitled “Deep Learning for 3D Heart Shape Reconstruction in Echocardiography” at the Institute for Machine Learning at ETH Zürich in 2023. His research focused around the development of intelligent algorithms for automated and robust interpretation of ultrasound videos. In 2021 Fabian Laumer received the ML4H NeurIPS2020 best paper award.

Michael is a specialist in obstetrics and gynecology with educational responsibility, particularly in surgery, ultrasound, and endometriosis. Since 1994, Michael Bajka has been a national leader in gynecologic ultrasound while pursuing a passionate career as a clinical practitioner. His central interests are basic research, prototyping, clinical validation, establishing curricula, and assessing future surgeons and ultrasound specialists. He established national and international contacts between medical experts of different specialties, leading to a broad network in all aspects of ultrasound.

Gabriel Fringeli earned his Master and Bachelor degree in Computer Science from ETH Zurich. His focus of study was on machine learning with applications in the areas of medicine and software security and includes an awarded publication at NeurIPS 2020 on information extraction for cardiac ultrasound data. Before joining Scanvio, Gabriel worked as a software and AI engineer at Snyk developing machine learning methods for fixing source code vulnerabilities.