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Reinhard Heckel is a Professor of Machine Learning in the Department of Computer Engineering at the Technical University of Munich. His research interests center around machine learning and information processing, with a focus on developing algorithms and theoretical foundations for deep learning, particularly in the medical imaging application domain. Additionally, he is involved in utilizing DNA data storage technologies as part of his research in digital information technology. Prior to his current position, Heckel served as a tenure track assistant professor in the Department of Electrical and Computer Engineering at Rice University and as a postdoctoral researcher at the Berkeley Artificial Intelligence Research Lab at the University of California, Berkeley. He completed his PhD at ETH Zurich, where he was recognized with the ETH Zurich medal for outstanding Ph.D. thesis. Throughout his career, he has contributed to numerous key publications in the field and has received several accolades, including being named among Germany’s “Top 40 under 40” by Capital Magazine in 2022.