Chrysostomos Marasinou is a Data Scientist with eight years of experience blending machine learning, deep learning and software engineering, currently applying these skills to medical imaging and complex project-delivery data in Los Angeles. He progressed from a PhD in theoretical physics and computational quantum research to postdoctoral work at UCLA focused on individualized radiology diagnostics using deep and reinforcement learning, giving him a rare mix of mathematical rigor and applied ML. At Nodes & Links he models relational, dynamic systems to surface project risk and simulate scenarios for large infrastructure and defense clients, translating academic techniques into production impact. Comfortable communicating technical ideas publicly and collaborating across teams, he learns quickly and favors multiple modeling approaches to tackle hard problems. An understated strength is his ability to connect abstract theoretical concepts to pragmatic engineering solutions, speeding decision-making in high-stakes domains.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at University of Cyprus
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at University of California, Los Angeles
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