Summary
Markus D is a Senior Research Scientist and research mathematician based in Austria with nine years of experience at the intersection of theoretical mathematics, machine learning, and AI safety. A recent DPhil from the University of Oxford, he has combined academic depth with applied research—designing hard math problems for FrontierMath benchmarks, advising organizations as an independent AI research consultant, and pioneering formal verification workflows using Lean 4. His roles at Beneficial AI Foundation and prior industry collaborations (including Lhasa Limited) reflect a focus on provable, verifiable AI and automation of mathematical proof. Markus pairs rigorous theorem-driven thinking with practical tooling and benchmarking expertise, making him equally at home proving results on paper and stress-testing large language models. An under-the-radar strength is his track record of translating doctoral-level mathematics into usable AI safety artifacts and evaluation suites.
9 years of coding experience
4 years of employment as a software developer
Master of Science (MSc), Mathematics, Master of Science (MSc), Mathematics at University of Vienna
Doctor of Philosophy (PhD/DPhil), Mathematics, Doctor of Philosophy (PhD/DPhil), Mathematics at University of Oxford
Matura, Matura at Bundesgymnasium Seekirchen am Wallersee
University College London
German, English, Spanish