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Humboldt Award Winner Prof. Stefanie Jegelka researches Artificial Intelligence
Image: Suvrit Sra

Stefanie Jegelka and Suvrit Sra receive top-level Artificial Intelligence professorshipsTUM's ninth and tenth Humboldt Professorships

The Technical University of Munich (TUM) has achieved two more victories in the competition for Germany's highest endowed research prize: Prof. Stefanie Jegelka and Prof. Suvrit Sra have each been honored with an Alexander von Humboldt Professorship for Artificial Intelligence (AI). Up to now both researchers have been working at Massachusetts Institute of Technology (MIT). TUM thus becomes the only German university to have successfully acquired ten Humboldt professorships.

Stefanie Jegelka completed her doctoral studies at the University of Tübingen and ETH Zurich in 2012, after which she conducted postdoctoral research at the University of California, Berkeley. She was then appointed Associate  Professor at MIT in Cambridge. As an information scientist she is an expert in artificial neural networks, which among other things can be used to make reliable predictions on the properties of certain molecules, combinations of medicinal active ingredients and their potential side-effects.

Mathematician Suvrit Sra received his PhD from the University of Texas at Austin in 2007 and until 2015 conducted research in Tübingen at the Max Planck Institute for Intelligent Systems. He is currently an Associate Professor at MIT. Suvrit Sra's fundamental methodological work on a variety of optimization questions has contributed greatly to the enormous progress made in the field of machine learning over the past few years.

Stefanie Jegelka is to take on a position at the TUM Department of Informatics, while Suvrit Sra is to join the Department of Mathematics. Both professors shall be future members of the TUM School of Computation, Information and Technology, which his being formed from the TUM Informatics, Mathematics and Electrical and Computer Engineering departments as part of the TUM AGENDA 2030. The two shall help to establish an important link to the Munich Data Science Institute (MDSI), established in 2020 as part of the Excellence Strategy, as well as to the Munich Center for Machine Learning (MCML), which is supported by the German Federal Ministry of Education and Research. TUM is thus strategically strengthening its internationally leading core area of expertise in Machine Learning and Artificial Intelligence.

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Alexander von Humboldt Professorships are endowed with up to five million euros for five year. The objective of this Alexander von Humboldt Foundation prize is to bring internationally leading academics to Germany.

In 2008 TUM brought Bioinformatics specialist Prof. Burkhard Rost (Columbia University, New York/USA ) to Munich as a Humboldt Professor, as well as Communications Engineering expert Prof. Gerhard Kramer (University of Southern California/USA) in 2010, Business IT specialist Prof. Hans-Arno Jacobsen (University of Toronto/Canada) in 2011, diabetes expert Prof. Matthias Tschöp (University of Cincinnati/USA) in 2012, mathematician and Operations Research expert Prof. Andreas S. Schulz (MIT, Cambridge/USA) in 2013, the renowned information scientist Prof. Marco Caccamo (University of Illinois at Urbana-Champaign/USA) in 2018, Prof. Daniel Rückert, expert on the implementation of AI in medicine (Imperial College London/United Kingdom) in 2020 and Robotics and Artificial Intelligence expert Prof. Angela Schöllig (University of Toronto/Canada) in 2021.

TUM rigorously pursues the strategic objectives of internationalizing professorial faculty and increasing the share of women among professorial faculty members.

Humboldt professorships at TUM

News Release from the Alexander von Humboldt Foundation

Technical University of Munich

Corporate Communications Center Ulrich Meyer

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