Michael Green is a Copenhagen-based AI scientist and serial founder with 12 years of experience building Bayesian and decision-focused AI systems that perform under uncertainty. As Co-Founder & CEO of Desupervised he leads product teams delivering domain-aware ML platforms—Alviss for sales attribution and AiChemy for ultra-large virtual screening in drug discovery—bridging deep research with commercial impact. Previously he led AI and analytics efforts as CTO at multiple ventures and built cross-channel predictive media engines at Blackwood Seven, demonstrating an uncommon blend of theoretical rigor (PhD in theoretical physics) and pragmatic SaaS engineering. He is comfortable moving models from Monte Carlo risk engines and clinical predictive systems into production-grade software stacks. His background includes hands-on development in C++, Java, Python and statistical tooling, and an early career as a special forces operator that informs his focus on robust, decision-critical systems.
12 years of coding experience
18 years of employment as a software developer
Doctor of Philosophy (PhD) Theoretical Physics, Doctor of Philosophy (PhD) Theoretical Physics at Lund University
English, Danish, Swedish, German, Chinese, Norwegian, Esperanto
Contributions:2 releases, 63 pushes, 1 branch in 3 years 1 month
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