Guillaume Bellec

Guillaume Bellec is an Assistant Professor at the Machine Learning Research Unit of TU Wien (Vienna, Austria). He holds a PhD from TU Graz (2019) and completed a postdoc at EPFL's Laboratory of Computational Neuroscience. His research focuses on biologically plausible machine learning models, neuromorphic computing, and spiking neural networks. He leads the lab studying brain-inspired AI systems.

• Developed the Chord ai app (2M+ users) for real-time chord recognition using deep learning
• Recipient of Vienna Science and Technology Fund (WWTF) grant (2025-2032) for AI and Neuroscience projects
• Published in top venues including NeurIPS, Nature Communications, and ICLR

Research interests combine machine learning theory with neuroscience principles, emphasizing energy-efficient neuromorphic systems and biologically realistic neural network models. Key contributions include spike-based learning rules (E-Prop), sparse network training (Deep Rewiring), and neuromorphic hardware integration.

Teaching experience includes Machine Learning (TU Graz) and courses on computational intelligence and reinforcement learning at bachelor/master levels.