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.

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 and completed a postdoctoral fellowship at ETH Zurich on how mechanical forces influence cardiovascular aging and disease. She now focuses on regulatory, clinical and usability affairs for software as a medical device, overseeing clinical investigations, ethics submissions, risk management and quality systems. Certified in usability engineering (IEC 62366), Good Clinical Practice (GCP), ISO 14155 and Advanced Risk Management, Maria applies this combined scientific and regulatory expertise to drive safe and innovative medical technologies.

Luca is currently completing his Master's degree in Biomedical Engineering at ETH Zürich with focus on the Bio-imaging field, following a Bachelor's in Biomedical Engineering at Politecnico di Milano. At ETH he carried out projects with prof. Ralph Müller in the Laboratory for Bone Biomechanics and prof. Carlo Menon in the Biomedical and Mobile Health Technology Laboratory. He is passionate about leveraging novel machine and deep learning frameworks to analyze medical data.

Sina Werner recently completed her Bachelor's degree in Business Administration at the University of St. Gallen (HSG). During her studies, she developed a strong interest in how social issues intersect with the business world. For her thesis, she explored how endometriosis and painful periods can impact women’s experiences and performance at work, aiming to bring more visibility to a topic that is often overlooked in professional settings. She is now beginning her Master’s in Innovation and Entrepreneurship at ZHAW, where she is excited to dive deeper into creative problem-solving and explore how innovative thinking can help build more inclusive and forward-thinking workplaces.

Andreas earned his Master’s degree in Computer Science at ETH Zurich, specializing in Machine Intelligence. During his master’s thesis at Scanvio, he developed a diffusion-based approach for synthetic ultrasound video generation to support improved endometriosis diagnosis. Prior to this, he received his Diploma/M.Eng. from the School of Electrical and Computer Engineering at NTUA, where he was admitted first nationwide. His research in machine learning and computer vision has been published at top conferences, including CVPR and ECCV Workshops.

Cristina Villegas Díaz earned her Postgraduate Diploma in Clinical Trial Management and holds a BSc in Biomedicine and an MSc in Industrial Pharmacy. Before joining Scanvio Medical, she worked at Roche, gaining hands-on experience in in-vitro diagnostic assay development for infectious diseases and neuroscience research. She brings expertise in ISO 13485 documentation, GCP, GLP, verification studies, and regulatory compliance, combining scientific rigor with a collaborative mindset. A multilingual communicator in English, Spanish, Catalan, and conversational German, Cristina is passionate about advancing clinical research and ensuring efficient execution within clinical operations.

Amir holds a Master’s degree in Pharmaceutical Sciences from ETH Zurich, where he focused on immunological profiling and translational research during his master’s thesis at the Institute of Experimental Immunology at University of Zurich. During his previous role at Novartis, he supported the clinical and operational management of a phase 3 clinical trial against uncomplicated malaria, gaining experience in clinical data review, EDC management, and safety monitoring in compliance with ICH-GCP standards. Collaborating across multiple countries and functions, he contributed to process optimization, documentation, and stakeholder communication to ensure trial integrity and efficiency. Building on his combined background in clinical operations, data management, and scientific research, he aims to apply his knowledge supporting innovative healthcare solutions at the interface of technology, clinical development, and collaboration.

Dr. DeDe Man earned her Joint-PhD in Pharmaceutical Science with The University of Hong Kong and King’s College London, advancing therapeutics research against Mycobacteria. As a senior scientist at the ARTORG Center and the Leibniz-HKI, she led cross-disciplinary projects in analytical assay development, 3D organ-on-chip models, and high-throughput screening innovation. With over ten years of experience in preclinical research, DeDe excels in bridging across scientific disciplines, harmonizing quality control, and stakeholder collaboration. she is driven to accelerate impactful solutions to foster medical innovation for healthcare advancement.