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.

Vaishnavi is an experienced and driven professional currently pursuing an M.Sc. in Business Innovation and Entrepreneurship, with a strong drive to support value-driven startups that prioritize societal impact. She brings a comprehensive skill set in strategic planning, digital marketing, and project management to her role at Scanvio Medical. Having worked in research and consulting, Vaishnavi has extensive experience in data analytics, market research, business development, and client engagement.

Carina Käser is currently completing her Master’s in Robotics, Systems, and Control at ETH Zurich, following a Bachelor’s in Microengineering from EPFL. She conducted her Master’s thesis at Harvard University, focusing on developing a soft robotic system. This work led to her appointment as a Research Associate at the Designing Emergence Lab at Harvard, where she contributed to two research papers: one based on her Master’s thesis and another on a NASA-funded user study for designing robotic manipulation systems.

Dr. Sergio Tascon-Morales completed the Erasmus Mundus Joint Masters in Medical Imaging and Applications (MAIA) in 2020, receiving the titles of best student and best thesis. During his Ph.D. at the University of Bern, he carried out research in the field of Visual Question Answering (VQA), achieving publications at top-tier conferences like CVPR and MICCAI. His research interests include computer vision and natural language processing, as well as multimodal learning applied to medical data.

With over 20 years of experience in the medical field, Claudia brings extensive knowledge and expertise to the Scanvio team. Her background as a medical assistant, combined with her training as a chemical laboratory technician and chemist, equips her with a strong scientific foundation and a structured approach to her work. At Scanvio, Claudia is responsible for the meticulous processing of medical data, ensuring accuracy and reliability in her daily tasks.

Lavinia holds a Master’s degree in Computational Science from EPFL, where she focused on data analysis, numerical simulations, and advanced machine learning techniques. After completing her master’s thesis at ETH Zurich, she extended her work as a research assistant in the Computer Vision Lab within the Biomedical Imaging Group. Her research was focused on anomaly detection in the blood flow of the aorta using 4D flow MRI scans, leveraging self-supervised deep learning methods with creating and incorporating synthetic anomalies.

Dr. Maria Narciso earned her PhD in Medicine and Translational Science from the University of Barcelona through the Marie Skłodowska-Curie ITN program, where she studied how the extracellular matrix changes during lung cancer progression. During her postdoctoral fellowship at ETH Zurich, she studied how mechanical forces impact cardiovascular ageing and disease. Maria has led and executed preclinical projects, gaining experience in collaborations, protocol development, and trial design, which she aims to apply in medical research and innovation.