Summary
Grady Jensen is a Principal Software Engineer with a decade of experience at the intersection of machine learning, computer vision, and embedded systems, currently leading R&D and edge video processing efforts in Germany. He holds a PhD in Neuroscience and an MS in Computer Science, blending deep academic insight into biological memory and spatio-temporal modelling with hands-on engineering of multi-camera motion capture and medical imaging systems. Grady has driven production-grade, safety-conscious embedded software for surgical multi-sensor camera systems and previously contributed to ML research at Volkswagen’s Machine Learning Research Lab. He’s particularly fascinated by how brains aggregate conflicting streams of information and applies that curiosity to multimodal data fusion and neuromorphic-inspired ML models. Comfortable moving between low-level firmware and high-level research, he’s the kind of engineer who prototypes with commodity hardware to validate bold ideas before scaling them into robust products. Outside standard roles, his work uniquely bridges neuroscience theory and practical ML deployments, making his contributions both scientifically grounded and product-ready.
9 years of coding experience
16 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Minnesota
Bachelor of Arts - BA Computer Science, Bachelor of Arts - BA Computer Science at Luther College
Doctor of Philosophy - PhD Neuroscience, Doctor of Philosophy - PhD Neuroscience at Ludwig-Maximilians-Universität München
English, German