I sit at the intersection of artificial intelligence, medicine, and enterprise deployment. As Head of AI at ISTEC, I lead AI strategy, governance, and production systems at the executive level. As a researcher, I've published in Nature Communications on AI-driven precision oncology. As a speaker, I bring that depth to stages, podcasts, and panels — translating complex AI realities into decisions that matter.
Taking AI knowledge from research and the boardroom to stages, podcasts, and public conversation.
Valmed Manager: The Backbone of an Award-Winning Certified Medical AI Platform
View EventAI in enterprise and healthcare — guest episode recording complete, episode releasing shortly.
From published oncology research to real clinical applications. What AI can actually do in medicine today, and where it still falls short.
Most AI projects never leave the proof-of-concept stage. This is the concrete talk on governance, infrastructure, and culture that separates the ones that do.
Running powerful AI without sending data to cloud providers. What works today, what it costs, and why data sovereignty matters for regulated industries.
Affiliated with
As Head of AI at ISTEC, I own the AI strategy end to end — building production systems, setting compliance and governance, and driving adoption where none existed before. This is the work I do every day.
At conferences, on podcasts, in panels and opinion pieces — I translate what is actually happening in AI into language that business leaders, policy makers, and medical professionals can act on. Upcoming: AI Navigator 2026, Nuremberg.
With select clients, I help build AI that actually ships: the strategy, the infrastructure, and the team capability to sustain it. I take on a small number of engagements each year where the fit is right.
Enterprise knowledge management with built-in hallucination control and full source traceability.
Reduced university admissions scheduling time by 85%.
Enterprise knowledge management with hallucination detection and full source traceability. Built for regulated industries.
6 peer-reviewed papers in Nature Communications, npj Precision Oncology, Genome Biology, and Cancer Research. All focused on applying AI to medicine and cancer biology.
See all publicationsPooling multimodal cancer data across unaligned embedding spaces maintains tumor of origin signal
Predicting anti-PD-1 immune checkpoint blockade response in melanoma patients with spatially aware machine learning models
Imputing single-cell protein abundance in multiplex tissue imaging
Speaking inquiries, executive advisory conversations, and media requests.
For speaking engagements, advisory conversations, or event inquiries, book a time directly below.
exitare@exitare.de
Karlsruhe, Germany
Within 24 hours