Summary
Lucas Mahler is a doctoral researcher at the Max Planck Institute for Biological Cybernetics with eight years of experience at the intersection of machine learning and neuroscience. His PhD—titled "Neural Representations of Conscious Processing in Humans and Machines"—investigates parallels between biological and artificial neural networks, building on prior work in ultra-high field MRI motion correction, unsupervised domain adaptation for brain segmentation, and interpretable biomarkers from large fMRI datasets. He combines strong engineering chops from industry roles in computer vision and autonomous driving with academic expertise in deep learning, volumetric imaging, and mechanistic interpretability. As a freelance ML engineer he routinely prototypes solutions across computer vision, NLP, and predictive analytics, bringing research-grade methods into applied settings. Based in Tübingen, Germany, he leads teams creating anatomical segmentations and has a track record of translating complex neuroimaging problems into practical, deployable models. Notably, his work bridges theory and application by training state-of-the-art networks on massive fMRI collections to extract biologically meaningful, interpretable signals.
7 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Cognitive Science, 1.6, Master of Science - MS, Cognitive Science, 1.6 at University of Tuebingen
Bachelor of Science - BS, Computer Science, 1,6, Bachelor of Science - BS, Computer Science, 1,6 at Technische Hochschule Ulm
German, English, Chinese, Russian