Teaching

2018-2023 Workshop: Basic Concepts of Machine Learning Methods (2-4 hrs, reocurring), EMD Serono, USA.
2021 Workshop: Building Tidy R Packages , R/Pharma, USA.
2019 Workshop: Introduction to Building R Packages, R Ladies Boston, USA.
2016 Lecture (incl. conception): Advanced Topics in Statistics: Machine Learning (postgraduate, 4 hrs/week), Boston University, USA.
2015 Lecture (incl. conception): Advanced Statistical Programing with R (postgraduate, 2 hrs/week), Georg-August-University of Göttingen, Germany.
2014/15 Lecture: Mathematics for Economists (undergraduate, 4 hrs/week), Georg-August- University of Göttingen, Germany.
2014 Supervision of Bachelor thesis by Gordian Bartel: ‘Implementation of a Gibbs sampler with CUDA’.
2013/14 Lecture: Statistics for Economists (undergraduate, 4 hrs/week), Georg-August-University of Göttingen, Germany.
2013/14 Lecture: Statistics for Economists (undergraduate, 4 hrs/week), Georg-August-University of Göttingen, Germany.
2013 Supervision of Master thesis by Maike Tahden: Ökologische Regression zur Bestimmung sozio-ökonomischer Assoziationen der EHEC-Ausbreitung in Hamburg. Revised published at PLOS ONE.
2010/11 Tutorials: Spatial Statistics and Mixed Models for Research Training Group 1644 (postgraduate, 4 hrs/week), Georg-August-University of Göttingen, Germany.
2009/10 Supervision Statistics Project for Beginners (undergraduate, 2 hrs/week), Ludwig-Maximilians-University, Munich, Germany.
2009/10 Tutorial: Statistics for communication science (undergraduate, 2 hrs/week), Ludwig-Maximilians-University, Munich, Germany.
2009 Workshop: Mixed Models with SPSS for Psychologists (researchers, 2 days), Ludwig-Maximilians-University, Munich, Germany.
2006/07 Tutorial: Statistics for Economists II (undergraduate, 4 hrs/week), Ludwig- Maximilians-University, Germany.
2006-2009 2006–2009 Lecture Notes Linear Models by Prof. Dr. Helmut Küchenhoff, Ludwig-Maximilians-University, Germany. Compiled from lecture documents and related materials.