Zurich, Zurich, Switzerland
Medtech professional working across product, quality, and regulatory affairs, with a background spanning ETH Zürich, Stanford, TUM, Roche Diagnostics, and Siemens Healthineers. At Evismo, I lead platform development as Product Owner, translating between business and software, managing an external dev team. I also run quality management for MDR compliance across CH and EU markets, working with legal manufacturers and regulatory consultants. Our core focus is diagnostics as a service: bringing diagnostics closer to the patient through digital solutions in cardiology, stress, and sleep analysis. I have lived and worked in Switzerland, Germany, and the US, navigating both local and global markets. That mix of cultures, disciplines, and contexts is something I genuinely value and bring into how I work. I am driven by opportunities to shape products and solutions in medical diagnostics that make a real difference to patient outcomes.
• Shape data-driven health solutions by aligning product features with clinical needs and regulatory frameworks (EU MDR, Swissmedic). • Translate business objectives into product strategy driving growth in the digital health market. • Oversee the development of remote monitoring tools from concept to deployment into clinical practice.
• Managing lifecycle processes for CoreLab reagents across portfolios and in immunology within Roche Diagnostics: • Algorithm integration, optimizing lab workflow and improving operational efficiency. • Market strategy, increasing portfolio revenue, targeting key countries. • Facilitating third-party launch streamlining communication and marketing efforts.
Researched the medical device landscape for market entry into health sector for client: • Evaluated regulatory requirements and classified device under EU MDR. • Conducted competitive analysis, identifying differentiators and market gaps. • Delivered shortlist and longlist of potential solutions and competitors for strategic decisions.
Worked with the Spine Research Group at Schulthess Clinic on a deep learning model for vertebra labeling: • Expanded automated X-ray annotation using deep learning and AI frameworks. • Upgraded model for targeted labeling of spine regions for enhanced precision. • Experimented with bounding box size for regions and analyze detection accuracy.
Biomedical Engineer Fellowship at Innovation Think Tank: • Supported strategic development initiatives like patient room of future and radiotherapy. • Defined disruptive technologies, addressing pain points and identifying KOIs. • Contributed to product and portfolio definition, market needs and objectives for innovation.