Summary
Geoff Klein is a Senior Data Scientist and PhD-trained computer vision researcher with eight years’ experience building end-to-end medical imaging pipelines for orthopaedic CT, now working at Brainlab after leading translational research at Sunnybrook. He designs and optimizes 2D/3D deep learning models (PyTorch, Keras, TensorFlow) to detect, segment and clinically classify vertebrae, reducing memory use by 50% to enable near real-time deployment on consumer hardware. His work bridges rigorous biophysics and applied ML—drawing on prior finite-element and analytical modelling in electromagnetics—so models are validated against both experiments and multidisciplinary clinical feedback. He has repeatedly translated research into clinical impact, engaging surgeons and oncologists to reach fit-for-purpose performance (≈87% accuracy) and presenting at international conferences. Based in Munich, he combines hands-on coding (Python, Matlab, R) with stakeholder-driven productization of AI for sensitive patient data.
8 years of coding experience
9 years of employment as a software developer
High School Diploma, 12, High School Diploma, 12 at Ontario Science Centre Science School
Doctor of Philosophy - PhD, Biophysics, Doctor of Philosophy - PhD, Biophysics at University of Toronto
Master of Applied Science, Engineering Physics/Applied Physics, Master of Applied Science, Engineering Physics/Applied Physics at Queen's University
English