Healthcare
AI in IVF and reproductive medicine
AI for fertility clinics: patient education, consent-aware communication and decision support built for regulated reproductive medicine.
About
I bring AI into high-trust, human, regulated fields. One focused practice, two specialisations: AI in IVF and reproductive medicine, and AI in education.
In fertility care, I design AI that supports clinics, embryology teams and patients: patient education, compliant communication and decision support that stays traceable and leaves every clinical decision with people.
In education, I build AI tools and run AI workshops for schools and universities, so teachers and students learn to think with AI, not around it. In EdTech I also create operating systems for special-needs students, ADHD, dyslexia and beyond: dopamine-loop engagement, and every OS switches to the person, their focus, their reading profile, their Gen Z language. The same principles run through both: responsible AI, deterministic guardrails, sources you can check, humans in charge.
Former professional ballet dancer, university lecturer. I work between Prague, Zurich and remote, inside the EU AI Act and GDPR frame.
Healthcare
AI for fertility clinics: patient education, consent-aware communication and decision support built for regulated reproductive medicine.
EdTech
AI workshops for schools and universities, AI pedagogy for educators, and adaptive learning OS for special-needs students (ADHD, dyslexia and more). Every system switches to the person.
Principle
Traceable outputs, clear guardrails and human decisions. Built for fields where a wrong answer has consequences.
Practice
Not an agency, not a generalist. I architect, build and teach, end to end, in two fields that run on trust.