Work · AI in IVF & reproductive medicine

AI architecture for IVF, built around regulation and cross-border care.

Reproductive medicine is one of the most regulated and most human fields in healthcare. Every system I design starts from the law, the consent and the patient pathway, then maps each constraint to a concrete layer of the AI architecture.

Regulation-first design

Swiss FMedG and FOPH rules, EU AI Act risk classes, GDPR and nDSG for special-category health data, MDR where software becomes a medical device.

›Risk classification of every AI feature before build
›Data minimisation for health and genetic data
›Human sign-off on anything clinical

Maps to architecture

policy engine · consent ledger · audit.append() · human-in-the-loop gate

Live systemLIVE-01

IVF patient companion · simulation mode

ember, an IVF journey companion

A patient app for people going through IVF: cycles, medication, wellbeing, clinic contact and country rules in one place. A built-in simulation mode shows fictional Zürich and Prague journeys, with no account needed. ember informs and organises, it never diagnoses, prescribes or changes a dose.

›Cycle records, medication plan and wellbeing check-ins
›Country rules for CZ, DE, AT and CH with official sources
›Reading modes: ADHD focus, dyslexia, high contrast, calm

React · TypeScript · rules engine with cited sources · EN/DE/CS · simulation sandbox

Open live

Live systemLIVE-02

AI in IVF · guest lecture, live classroom companion

AI in IVF & Reproductive Medicine

A live lecture companion for university students: four different national rulebooks, the data behind fertility care and the decisions no algorithm should make alone. Students join by QR code and follow the lecture on their own phone.

›QR join on any device, named sessions
›Live polls and moderated discussion
›Teacher sign-in and session control

React · TypeScript · realtime sessions · polls engine · teacher console

Open live

Engagements

More IVF projects are being added.

AI in IVF

IVF Clinic Zürich, Responsible AI & Patient Communication

Sep 2024 – Nov 2024 · Zürich

Advisory for a Zürich fertility clinic: transparent patient education and compliant messaging under FOPH and FMedG, with an AI-assisted communication layer built around trust, consent and medical transparency.

AI in reproductive medicine

Reproductive-medicine group, Switzerland

Nov 2025 – Jan 2026

Strategic and regulatory due diligence for a Swiss coordination entity within a multinational reproductive-medicine group: Swiss health law, nDSG/GDPR and a governance frame ready for responsible AI in patient pathways.