Tobias Setzer
Lead Scientist Material Twins @Merck Electronics
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WORK HISTORY
Lead Scientist Material Twins @Merck Electronics
Darmstadt, DE
Leading an interdisciplinary initiative to apply machine-learned interatomic potentials (MLIPs) to accelerate materials discovery and design in semiconductor research. Developing AI-driven modeling workflows that replace traditional simulation pipelines, significantly increasing computational throughput and enabling faster, data-informed innovation. Collaborating with R&D leaders and external partners to integrate advanced computational methods into next-generation material development.
EDUCATION
Heidelberg University
Master of Science - MS, Chemistry
Heidelberg University
Bachelor of Science - BS, Chemistry
Heidelberg University
Doktor (Ph.D.), Chemistry
ABOUT TOBIAS SETZER
Scientist with a strong product mindset uniting computational chemistry, AI, and materials science to accelerate innovation in R&D. Passionate about turning complex models into actionable insights that drive faster, more sustainable discoveries. Drawing on experience across healthcare and semiconductor industries, I combine deep scientific understanding with business and product thinking to translate technology into real-world impact. I enjoy building bridges between researchers, engineers, and decision-makers to scale digital tools and shape the future of AI-driven science. Experienced in leading cross-functional teams and large-scale programs, catering to stakeholders from research to executive level.
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