Falko Dulat is an engineering manager and former staff machine learning engineer at Apple with nine years of experience bridging advanced physics research and production-grade software engineering. Trained with a PhD in Theoretical and Mathematical Physics from ETH Zürich, he spent his early career publishing and developing object-oriented C++ solutions at top labs including SLAC and Stanford before transitioning to industry roles at Google, Waymo, and Apple. He specializes in turning complex mathematical problems into scalable ML and systems solutions, combining deep quantitative rigor with hands-on software delivery. Based in Menlo Park but with roots in Zurich, he brings an international perspective and a knack for communicating technical work to diverse stakeholders. An unusual strength is his ability to move between research-grade code and large-scale product engineering, making him effective at taking prototypes into robust production systems.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Science Physik, Bachelor of Science Physik at RWTH Aachen University
Doctor of Philosophy - PhD Theoretical and Mathematical Physics, Doctor of Philosophy - PhD Theoretical and Mathematical Physics at ETH Zürich
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