KleinLab - Methods for Big Data
Prof. Dr. Nadja Klein
Research Interests
- Bayesian Computational Methods
- Bayesian Deep Learning
- Machine Learning
- Smoothing
- Regularization and Shrinkage
- Distributional Regression
- Network Analysis
- Spatial Statistics
Short Vita
| since 2024 | Full professorship (W3) for Methods for Big Data, Scientific Computing Center, Karlsruhe Institute of Technology |
| 2023 - 2024 | Full professorship (W3) for Uncertainty Quantification and Statistical Learning, Research Center for Trustworthy Data Science and Security, Technische Universität Dortmund |
| 2021 - 2023 | Full professorship (W3) for Statistics and Data Science, Humboldt-Universität zu Berlin |
| since 2019 | Emmy Noether Research Group Leader in Statistics & Data Science, Humboldt-Universität zu Berlin |
| 2018 - 2021 | (Non-tenured) Assistant professorship (W1) for Applied Statistics, Humboldt-Universität zu Berlin |
| 2016 - 2018 | Postdoctoral Feodor Lynen Fellow of the Alexander von Humboldt Foundation, Melbourne Business School, University of Melbourne, Host: Prof. Dr. Michael Smith |
| 2015 | Dr. rer. nat. in Mathematics, Georg-August-Universität Göttingen |
Awards and Prizes
| 2022 | Nomination to AcademiaNet |
| 2022 | Gustav-Adolf-Lienert-Award of the International Biometric Sociecty, German Region (IBS-DR) |
| 2020 | Awarded membership in Die Junge Akademie at the Berlin-Brandenburg Academy of Science and National Academy of Sciences Leopoldina |
| 2015 | Wolfgang-Wetzel-Price 2015 of the German Statistical Society |
| 2014 | Award of the Universitätsbund Göttingen |
Further Activities and Volunteering
| since 2021 | Liaison professor of the German Academic Scholarship Foundation |
| since 2021 | Speaker of the Research Group Artificial Intelligence, Junge Akademie at the Berlin-Brandenburg Academy of Science and National Academy of Sciences Leopoldina |