KleinLab - Uncertainty Quantification and Statistical Learning

Team

Members

Nadja Klein Prof. Dr. Nadja Klein // Group Lead //

Nadja has been holding the W3 professorship for “Uncertainty Quantification and Statistical Learning” at the Center for Trustworthy Data Science and Security and TU Dortmund since April 2023. She is also a Emmy Noether Research Group Leader as well as a member of AcademiaNet, Die Junge Akademie and the Humboldt network (by the Alexander von Humboldt Foundation), among others.
Nadja completed her doctoral studies in Mathematics at the Georg-August-Universität Göttingen, before conducting as a postdoc at the University of Melbourne as a Feodor-Lynen fellow by the Alexander von Humboldt Foundation. Afterwards she was a Professor for Statistics and Data Science at the Humboldt-Universität zu Berlin before joining TU Dortmund.
Paul Bach Paul Bach // PhD Student //

Paul joined the lab as a PhD student in December 2019. He holds a master's degree in mathematics from HU Berlin and worked as a biostatistician at Charité Berlin before joining the lab. His main research interests are in the fields of distributional regression models, Bayesian computational methods, biostatistics and spatial statistics.
Guillermo Briseno-Sanchez Guillermo Briseno-Sanchez // PhD Student //

Guillermo joined the team as a PhD student in May 2023. He studied Business economics in Hamburg (UHH) and holds a master’s degree in Applied Statistics from the University of Göttingen. His main research interests are distributional regression models for univariate and bivariate responses as well as time-to-event analysis.
Tim-Moritz Bündert Tim-Moritz Bündert // PhD Student //

Tim joined the lab in November 2022 as a student research assistant and in October 2023 as a PhD student. Prior, he studied Data Science and Statistics at the University of Tübingen and the Berlin University Alliance. Currently, he is working on robustness and theoretical properties of Bayesian Deep Learning involving adversarial attacks.
Ekin Celikkan Ekin Celikkan // PhD Student //

Ekin joined the lab as a PhD student in 2022 as a part of the HEIBRiDS Graduate Program. Her research focus is on computer vision and uncertainty quantification for agricultural monitoring. She received her B.Sc. in Electrical and Electronics Engineering from Bilkent University in 2019 and completed her M.Sc. in Electrical Engineering, Information Technology and Computer Engineering at RWTH Aachen University in 2022.
Clara Hoffmann Clara Hoffmann // PhD Student //

Clara joined the lab as a PhD student in February 2023. Prior, she obtained a Bachelor's in Economics from Humboldt University and a Master's in Statistics from the Berlin University Alliance. Clara is working on deep Bayesian uncertainty quantification within the DesBi project to obtain calibrated predictions for MRI scans.
Lucas Kock Lucas Kock // PhD Student //

Lucas joined the lab in October ’19. He obtained his Masters in Mathematics from Humboldt-Universität zu Berlin. His research passions revolve around deep mixture modeling, distributional regression, and the realm of approximate Bayesian inference.
Benedikt Lütke Schwienhorst Benedikt Lütke Schwienhorst // PhD Student //

Benedikt joined the lab as a PhD student in November 2023 being under the co-supervision of Nadja Klein and Johannes Lederer. He obtained a Bachelor degree in Industrial Engineering from Technical University of Berlin and a Master degree in Statistics from the Berlin University Alliance. His current research focuses on the comparison of frequentist and Bayesian methods in particular with respect to robustness.
Victor Medina-Olivares Victor Medina-Olivares, PhD // Postdoctoral Researcher //

Victor, a postdoctoral researcher who joined our lab in October 2022, dedicates his research to developing and applying probabilistic machine learning methods, tackling a wide array of scientific challenges. Victor earned his PhD at the University of Edinburgh, UK, with a central focus on scalable joint models for longitudinal and time-to-event data. He studied Physics, Industrial Engineering, and an MSc in Statistics and Operational Research.
Pallavi Mitra Pallavi Mitra // PhD Student //

Pallavi joined the lab in 2023. She is working as a PhD student in cooperation with the Continental AI Lab in Berlin, focusing on safety measures for neural network pruning. Pallavi previously completed her M.Sc. in Data Science from the Berliner Hochschule für Technik in 2021.
Christian Schlauch Christian Schlauch // PhD Student //

Christian joined the lab in 2022. He is working as a PhD student in cooperation with the Continental AI Lab in Berlin, focusing on Bayesian Deep Learning methods for trajectory prediction in autonomous driving. Christian previously completed his M.Sc. in Systems Engineering and Technical Cybernetics at the OvGU Magdeburg in 2022.
Michael Stanley Smith Michael Stanley Smith // Mercator Fellow //

Michael is Mercator Fellow in our Emmy Noether Research Group. He holds the Chair of Management in Econometrics at Melbourne Business School since 2007. Being a leading researcher in Bayesian statistics and business analytics, his work has been published in top academic journals in statistics, econometrics, marketing and forecasting.
Ivan Ustyuzhaninov Ivan Ustyuzhaninov // Postdoctoral Researcher //

Ivan joined our research group as a postdoctoral researcher in April 2023. His primary focus is on Bayesian machine learning, with a particular emphasis on Bayesian neural networks, neural processes, and the quantification of uncertainty. Ivan earned his Ph.D. and Master's degrees in machine learning and computational neuroscience from the University of Tübingen. He also holds a diploma in mathematics from Moscow State University.

Associate Members

Moussa Kassem Sbeyti Moussa Kassem Sbeyti // PhD Student //

Moussa joined our lab as an associated member in 2023. He is currently pursuing a PhD at the Technical University of Berlin while working as an AI Research Scientist at the Continental AI Lab in Berlin. His research primarily focuses on developing uncertainty-based automated labeling methods for 2D images in autonomous driving. Prior to this, Moussa earned his M.Sc. in Mechatronics Engineering from the Technical University of Darmstadt in 2021.

Alumni

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