|Prof. Dr. Axel Munk|
Our research group is interested in the development of methods for extracting relevant information from complex data. This data often arise from collaborations with lab scientists. My research in mathematical statistics is concerned with developing such methods and tools to equip these with statistical error control. The challenge is to incorporate computational aspects at the same hand, an important issue in modern data science.
Econometrics: microstructure noise models.
Pattern recognition: Analysis of fingerprints and biometric identification security.
In the recently founded Felix-Bernstein Institute for Mathematical Statistics in the Biosciences (FBMS)
we foster interaction of Statistics with Bio- and Lifescience.
Since 2010 I am Max-Planck-fellow heading the Statistical Inverse Problems in Biophysics group at the Max Planck Institute for Biophysical Chemistry.
IMS Medaillon lecture 2021 "Empirical optimal transport: Inference, Algorithms, Applicaions."
|Thirds party funded projects|
Institute of Mathematical Statistics (IMS)
Member of the Council of the Institute for Mathematical Statistics, Bethesda, MD, U.S.A. (2017-2020)
Annals of Statistics (2009 -2012, 2016- )