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
Next Generation Models of Financial Data
Machine learning methods in financial mathematics: In order to intensify collaboration on this topic, Professor Blanka Horvath organizes a Kick-off Meeting from 20 to 22 September 2021.
Workshop: Early Warning Signs
Under sustained global warming, several subsystems of the earth undergo abrupt transitions. There's a virtual workshop on Early Warning Signs for this tipping events on 13 October 2021.
TUM participates in Mathematical Research Data Initiative
Easily accessible research data is the goal of the National Research Data Infrastructure. In October 2021, funding for the Mathematical Research Data Initiative will start. Professor Mathias Drton is Co-spokesperson.
AI spots diseased cells
Researchers at Technical University of Munich and Helmholtz Zentrum Munich have developed an algorithm to spot diseased cells. It compares the cells of patients with a reference atlas of healthy cells.