Summary
Fabian Kloosterman is an interdisciplinary data scientist and neuroscientist with 20 years of experience translating complex neural signals into actionable insights for research and technology. As an Affiliate Assistant/Associate Professor at KU Leuven and former research team lead, he has secured over $3M in funding, supervised multidisciplinary teams, and published 40+ peer-reviewed papers while co-inventing two neurotechnology patents. He builds production-grade tools—from a C++ real-time neural analysis platform to a Python toolbox for signal visualization—and develops novel algorithms such as an improved neural decoding method. His work bridges experimental neuroscience, statistical modeling, and software engineering to predict behavior from brain activity and reveal how memory traces are reactivated. A registered U.S. Patent Agent, he combines technical depth with IP savvy, making him effective at moving ideas from lab prototypes toward translational impact. Colleagues value his talent for making the simple effortless and the complex achievable, and his knack for teaching and clear communication accelerates team learning.
20 years of coding experience
20 years of employment as a software developer
Doctor of Philosophy - PhD, Neurobiology and Neurosciences, Doctor of Philosophy - PhD, Neurobiology and Neurosciences at University of Amsterdam
English, Dutch