Summary
Max Burg is a machine learning engineer and research scientist with 8 years of experience bridging deep learning, computational neuroscience, and physics, currently applying his expertise at GSK while completing a PhD at the Max Planck Society. He designs interpretable, biologically inspired neural network models to explain visual perception, combining rigorous academic training (MSc and BSc in Physics with top grades) with hands-on applied work from AWS and Harvard research fellowships. Max mentors students and teaches deep learning and machine learning, reflecting a strong commitment to training the next generation of researchers. Notably, his background in applied computer science and early accelerator and spectroscopy internships give him a rare blend of experimental, computational, and engineering perspectives that inform his model-building.
8 years of coding experience
Master of Science - MS, Physik, 1.0, Master of Science - MS, Physik, 1.0 at Eberhard Karls Universität Tübingen
Applied computer science, 1.5, Applied computer science, 1.5 at Duale Hochschule Baden-Württemberg
English, German, Spanish