Humboldt-Universität zu Berlin - Statistics

Publications

Current preprints are usually on arXiv.

Teaching

For student counseling in the Master's program in Statistics, please send your emails to mscstatistics@lists.hu-berlin.de to contact me and Dr. Sigbert Klinke. You can find the current list of classes on our teaching website. If you are interested in writing your Bachelor's or Master's thesis with me, please check the requirements here. Then contact me about potential topics with any information on your background, classes, interests and experience that might be relevant for the topic choice.

Short CV

•    Since 2023 Spokesperson of the DFG AI research unit "Fusing Deep Learning and Statistics towards Understanding Structured Biomedical Data" 
•    Since 2020 Speaker of the Joint commission for the Berlin-wide Master's program in Statistics
•    Since 2019 Full professor of Statistics, Humboldt-Universität zu Berlin
•    2014-2019 Associate professor of Biostatistics, Department of Statistics, LMU Munich
•    2010-2016 Head of the DFG-funded Emmy Noether junior research group "Statistical Methods for Longitudinal Functional Data", Department of Statistics, LMU Munich
•    2008-2010 Postdoctoral Fellow, Department of Biostatistics, Johns Hopkins University, USA
•    2004-2007 Doctoral researcher, PhD in Statistics, LMU Munich
•    2006 Research visit (3.5 months), Department of Biostatistics, Johns Hopkins University, USA
•    2004-2005 Research associate, Department of Epidemiology, HelmholtzZentrum Munich (German Research Center for Environmental Health)
•    2001-2002 Master of Science in Biostatistics, UNC Chapel Hill, USA
•    1998-2004 Diplom (~Master of Science) in Mathematics, RWTH Aachen (on leave 2001-2002)

Honors, Awards and Grants

•    2024-2027 2nd funding period of DFG-grant (joint PI with Frauke Kreuter, LMU Munich) “Statistical modeling using mouse movements to model measurement error and improve data quality in web surveys”

•    2024-2029 PI in IZ GreenCompute, Interdisciplinary Center at HU Berlin for Saving Energy in Large-Scale Data Analysis and HPC

•    2023-2026 DFG AI research unit "Fusing Deep Learning and Statistics towards Understanding Structured Biomedical Data" (speaker and two projects P1 and P7)
•    2023-2026 DFG-grant “Flexible density regression methods”
•    2023-2028 PI in IZ D2MCM, Interdisciplinary Center at HU Berlin on Digitality and Digital Methods
•    2021 Gumbel lecture, German Statistical Society
•    2020-2022 DFG-grant “Flexible regression methods for curve and shape data”
•    2019 Princess Therese of Bavaria Award, LMU Munich
•    2018-2021 DFG-grant (joint PI with Frauke Kreuter, Mannheim/IAB/ Maryland) “Statistical modeling using mouse movements to model measurement error and improve data quality in web surveys”
•    2010-2016 Emmy Noether grant "Statistical Methods for Longitudinal Functional Data" from the German Research Foundation (DFG)
•    2012 Wolfgang-Wetzel-Award of the German Statistical Society
•    2011 Gustav-Adolf-Lienert-Award of the German Section of the International Biometric Society
•    2010-2013 two funded collaborative projects on functional data analysis with Siemens CT
•    2009 David P. Byar Young Investigator Award, American Statistical Association, Biometrics section
•    2009 Oberwolfach Leibniz Graduate Students grant and invitation to Oberwolfach Workshop “Challenges in Statistical Theory: Complex Data Structures and Algorithmic Optimization”
•    2008 Award for the best graduates of the School of Mathematics, Computer Sciences and Statistics for an outstanding dissertation, LMU Munich
•    2007 Best IWSM Student Paper Award, 22nd International Workshop on Statistical Modelling
•    2006 Research Fellowship from the German Academic Exchange Service (DAAD)
•    2005 Springorum Medal for passing the Diplom Examination with Distinction, RWTH Aachen
•    2002 Best Master's Paper Award, Department of Biostatistics, University of North Carolina at Chapel Hill
•    2001-2002 Fulbright-Scholarship
•    1998-2004 Scholarship from the Ev. Studienwerk Villigst.