Micromobility: UX, Data & Sustainability

Q1. You've worked across research, technology, and now connected mobility—could you start by sharing how your journey from healthcare UX to e-bike innovation came about?

After a decade managing bioinformatics pipelines and integrating patient data for cancer research in HIPAA-compliant environments, I discovered that survival analysis algorithms, privacy architectures, and consent frameworks perfected in healthcare could solve critical challenges in adjacent IoT sectors. My transition to micromobility wasn't abandoning healthcare, it was proving that healthcare's rigorous methodologies create competitive advantages in any data-sensitive industry.

I now apply the same ML models that predict patient outcomes to forecast component failures with 80% accuracy. I translate EHR consent management protocols directly to IoT device permissions and use clinical decision support UX principles to guide users through complex connected features. When major e-bike manufacturers faced server dependency crises stranding 190,000 users, I provided solutions using healthcare's graceful degradation architectures, ensuring critical functions operate during network outages.

By applying medical-grade standards to the €245B micromobility market, I’m demonstrating how healthcare’s advanced approach to data governance, privacy-by-design, and explainable AI can be a real differentiator, beyond just compliance.

Q2. As e-bikes become smarter through IoT integration, what are the biggest design or usability challenges you…