Postdoc at the Department of Information Systems of the University of Münster (Germany)
Contact
Contact
- Room 224, Leonardo-Campus 3, 48147 Münster, Germany
- +49 251 83-38163
Bio
- Postdoc (2024 - present), Projects: AI4Forest, TinyAIoT, University of Münster, Germany
- Data Scientist(2022 - 2024), Energy sector: flexibility marketing, spot market trading, ESFORIN, Germany
- Phd in Mathematics (2018-2022), Research field: Algebraic and Arithmetic Geometry, University of Bielefeld, Germany
- MSc degree in Mathematics (2015-2018), Tracks: Algebraic Geometry, Statistics, University of Münster, Germany
- BSc degree in Mathematics and Applications (2012-2015), Heinrich-Heine University Düsseldorf, Germany
Research Interests
My research interests lie in the intersection of machine and deep learning with statistics. Current projects include for example the mapping of uncertainty of tree height predictions from optical and radar satellite data or reducing data to be transmitted from an edge device such as a microcontroller with sensors to the cloud.- Deep Learning for Remote Sensing
- Uncertainty Quantification in Deep Learning
- Noisy Labels in Deep Learning
- Efficient Quantization Techniques in Machine & Deep Learning