Summary
Horst Samulowitz is a principal research scientist and senior manager at IBM with nine years in senior research roles and a 20+ year career rooted in AI, combinatorial optimization, and automated reasoning. He leads IBM’s Generative AI for Data efforts and has driven projects in meta-learning, automated algorithm selection, interactive ML systems, and efficient inference for propositional and probabilistic reasoning. His background spans top research labs (Microsoft Research, NICTA) and academia (PhD, University of Toronto), where he focused on knowledge representation, self-adaptive algorithms, and integrating uncertainty into constraint solving. Known for translating deep theoretical work into practical automation of AI systems, he balances hands-on technical leadership with program-level management. Based in Ossining, NY, he also has entrepreneurial experience founding a mobility-focused communication startup and earlier systems engineering work on distributed VR and embedded systems. That combination of research depth, product-minded engineering, and managerial scale makes him effective at moving advanced AI ideas toward real-world impact.
9 years of coding experience
23 years of employment as a software developer
PhD. Computer Science - Artificial Intelligence, PhD. Computer Science - Artificial Intelligence at University of Toronto
Master Computer Science, Master Computer Science at RWTH Aachen University
English, German, Dutch