Reinhard Heckel

Professor of Machine Learning at TUM

I’m a Professor of Machine Learning (Tenured Associate Professor) at the Department of Computer Engineering at the Technical University of Munich (TUM), and adjunct faculty at Rice University, where I was an assistant professor of Electrical and Computer Engineering from 2017-2019. Before that, I was a postdoctoral researcher in the Berkeley Artificial Intelligence Research Lab at UC Berkeley, and before that a researcher at IBM Research Zurich. I completed my PhD in 2014 at ETH Zurich and was a visiting PhD student at Stanfords University’s Statistics Department.

My work is centered on machine learning, artificial intelligence, and information processing. I focus on developing algorithms and foundations for deep learning, particularly for medical imaging, on establishing mathematical and empirical underpinnings for machine learning, and on the utilization of DNA as a digital information technology.


Please see my google scholar profile for an up-to-date list.

Talk at DLD on Seeing the World with AI

Op-ed in the German newspaper Frankfurter Allgemeine on ChatGPT

My interview with Sam Altman at TUM

Science TV show “Gut zu Wissen” on Future Storage Media

Op-ed in the German newspaper Frankfurter Allgemeine on DNA as an information technology

Science TV show Galileo on our work on DNA storage

Netflix video on how we stored the first original series for Netflix on DNA)

BBC science show about our work: This is how to store human knowledge for eternity