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
- Claudia Klüppelberg
- Robert König
- Felix Krahmer
- Fabian Theis
- Michael Ulbrich
- Elisabeth Ullmann
- Michael Wolf
- Johannes Zimmer
Related research groups
Research News
Joint Academy of Doctoral Studies
The Technical University of Munich and Imperial College London are funding research collaborations on the topic of "Mathematics of Information: Theory and Application" in 2021. Submit your project proposals by 5 April!
Conference: QIP21
The premier meeting for theoretical quantum information research: Professor Robert König and Professor Michael Wolf organize the virtual Conference on Quantum Information Processing 2021.
Munich Data Science Institute takes off
Data Sciences are changing research, business and society - across disciplines. This is why the TUM is now pooling its expertise with the Munich Data Science Institute.
One World Dynamics
The "One World Projects" were created during the Corona Pandemic and connect mathematicians worldwide. 3 researchers of the TUM co-initiated the "One World Dynamics Seminar".
"scVelo" predicts cell development
How do cells develop? A research team has developed the method "scVelo" and software that calculates the dynamics of gene activity in cells. This enables the future state of individual cells to be predicted.
SIAM Student Paper Prize für Jonas Latz
Former TUM student Dr. Jonas Latz receives the SIAM Student Paper Prize 2020 for his paper "On the Well-posedness of Bayesian Inverse Problems". The prize is awarded for the best papers by student authors.
Model for a secure contact tracing app
In the fight against Covid-19, the interdisciplinary research team ContacTUM has developed a model for a secure contact tracing app. Simulations should clarify whether the app can actually slow the spread of the corona virus.
Award for Dr. Dominik Stöger
Our former doctoral student Dr. Dominik Stöger receives the Dr.-Klaus-Körper-Prize 2020 of the GAMM for his outstanding dissertation on "Bilinear Compressed Sensing".