Data & Information
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Whether in logistics, medicine or mobile communications - many applications give rise to data sets of increasing size. In order to analyze and use that amount of data efficiently, new mathematical tools are required.
At the TUM Department of Mathematics, we develop and research methods for data processing and extract relevant information, specifically addressing the challenges of large data sets. Mathematics in Data Science enables the creation of forecasts, the conservation of resources and the reduction of costs in many areas of application.
Research areas
Different groups in our Department study Data & Information from the viewpoints of
- optimization,
- probability and statistics,
- applied harmonic analysis,
- computational topology, and
- quantum information theory.
Professors
- Ulrich Bauer
- Folkmar Bornemann
- Claudia Czado
- Mathias Drton
- Massimo Fornasier
- Blanka Horvath
- Claudia Klüppelberg
- Robert König
- Felix Krahmer
- Fabian Theis
- Michael Ulbrich
- Elisabeth Ullmann
- Michael Wolf
- Johannes Zimmer
Related research groups
Research News
Workshop: Mathematical Modeling and Scientific Computing
From 4 to 7 October 2022, a workshop focusing on complex processes and systems takes place at the Technical University of Munich. It is dedicated to the memory of Dr. Nikolai Botkin. Register by 15th July!
Workshop on Critical Transitions
From mathematical theory of critical transitions to applications to nature, technology and society: From 24 to 26 August 2022, the workshop "Critical transitions and nonautonomous bifurcations" takes place.
Munich AI Lectures start
Prof. Cynthia Dwork gives the inaugural lecture of a new series organized by several Munich research cooperatives - the Munich AI Lectures. Listen in!
Barbara Wohlmuth appointed member of Leopoldina
The Leopoldina, the National Academy of Sciences, has elected Professor Barbara Wohlmuth as a member. It is one of the highest scientific honors of a German institution. Congratulations!