
Lecture notes:
- Multivariate Statistics and Machine Learning (MATH38161)
- Statstical Methods: Likelihood, Bayes and Regression (MATH20802)
Current academic year (University of Manchester):
-
2020-2021:
- Term 2: Module MATH20802 Statistical Methods (260 students)
- Term 1: Module MATH38161 Multivariate Statistics and Machine Learning (70 students)
-
Project supervision:
- Various M.Sc., year 4 and year 3 projects
Previous courses (University of Manchester):
-
2019-2020:
- Term 2: Module MATH20802 Statistical Methods (250 students)
- Term 1: Module MATH20802 Multivariate Statistics and Machine Learning (90 students)
-
Project supervision:
- Comparison study of the maximal information coefficient for measuring nonlinear dependence (M.Sc.)
- Measuring nonlinear multivariate association by distance correlation (M.Sc.)
- Comparison of mutual information and maximal information coefficient for measuring nonlinear association (M.Sc.)
- An introductory approach to reinforcement learning (year 4)
- Variational auto-encoders with application to unsupervised representation learning (year 3)
- Interpretable factor models and variational autoencoders (year 3)
-
2018-2019:
- Term 2: Module MATH20802 Statistical Methods (270 students)
- Term 1: Module MATH38161 Multivariate Statistics and Machine Learning (70 students)
-
Project supervision:
- The SES algorithm for discovering statistically equivalent feature subsets (M.Sc.)
- Feature selection via conditional likelihood (M.Sc.)
- An overview over energy statistics (M.Sc.)
- Statistics based on distance correlation (M.Sc.)
- Theoretical and empirical analysis of tree based ensemble methods (year 4)
- The classification performance of neural networks with images (year 3)
- Advanced methods for image classification tasks (year 3)
-
2017-2018:
- Term 2: Module MATH1982 Foundations in Probability (310 students)
- Term 2: Seminar Statistics and Machine Learning discussion group
- Project supervision:
- Empirical Bayes approaches for estimating false discovery rates (M.Sc.)
- Entropy approach to information integration using linear and log-linear pools (M.Sc.)
- Empirical study of the maximal information coefficient (M.Sc.)
- Investigating non-linear relationships with mutual information (M.Sc.)

Previous courses (Imperial College London):
- 2017-2018:
- Term 2: Module Advanced Regression, shared (M.Sc.)
- 2016-2017:
- Term 2: Module Advanced Regression (M.Sc.)
- All terms: Seminar Current Topics in Biostatistics
- 2015-2016:
- Term 2: Module Advanced Regression (M.Sc.)
- All terms: Seminar Current Topics in Biostatistics
-
2014-2015:
- Term 2: Module Advanced Regression, shared (M.Sc.)
- Term 1: Tutorials Introduction to Statistical Thinking and Data Analysis
- All terms: Seminar Current Topics in Biostatistics

Previous courses (University of Leipzig):
- 2013-2014:
- 2012-2013:
-
2011-2012:
- SS 2012: Grundbegriffe der medizinischen Biometrie und Epidemiologie
- SS 2012: Statistical Analysis of RNA-Seq Data
- WS 2011: E.T. Jaynes: Probability Theory - The Logic of Science (ctd.)
- WS 2011: Einführung in R
- WS 2011 + SS 2012: Research colloquium ("F-Seminar")
-
2010-2011:
- SS 2011: Grundbegriffe der medizinischen Biometrie und Epidemiologie
- SS 2011: E.T. Jaynes: Probability Theory - The Logic of Science
- WS 2010: Grundlagen des Maschinellen Lernens und der Statistik
- WS 2010 + SS 2011: Research colloquium ("F-Seminar")
- WS 2010: Einführung in R
-
2009-2010:
- SS 2010: Grundbegriffe der medizinischen Biometrie und Epidemiologie
- WS 2009: Grundlagen des Maschinellen Lernens und der Statistik
- WS 2009 + SS 2010: Research colloquium ("F-Seminar")
- WS 2009: Einführung in R
-
2008-2009:
- SS 2009: Einführung in die medizinische Biometrie und Epidemiologie
- SS 2009: Current topics in biostatistics
- WS 2008: Grundlagen des Maschinellen Lernens und der Statistik
- WS 2008 + SS 2009: Research colloquium ("F-Seminar")
-
2007-2008:
- SS 2008: Einführung in die medizinische Biometrie und Epidemiologie
- SS 2008: Research colloquium ("F-Seminar")
- WS 2007: Grundlagen des Maschinellen Lernens und der Statistik
-
2006-2007:
- SS 2007: Statistical Modeling of Biological Networks
- SS 2007: Concepts of Causality in Biology and Medicine
- SS 2007: Current Research in Statistics and Bioinformatics

Previous courses (University of Munich):
- 2005-2006:
-
2004-2005:
- SS 2005: Strategies for Analyzing High-Dimensional Data (literature list)
- SS 2005: Journal club on statistics in genomics and proteomics
- WS 2004: Statistical Analysis of Gene Expression Data
- 2003-2004:
-
2002-2003:
- SS 2003: Genetic Networks: Models and Estimation
- WS 2002: Introduction to Statistical Models in Sequence Analysis
- WS 2002: Book and journal club on molecular evolution
- 2001-2002: