Rate My Professor Jochen Einbeck

Jochen Einbeck is Professor of Statistics in the Department of Mathematical Sciences at Durham University. He serves as Co-Director of the Durham Research Methods Centre and as CPD Lead for the Durham Biostatistics Unit. Additionally, he is Co-Director for Health Data Science in the Durham Research Methods Centre within the Faculty of Social Sciences and Health. Einbeck obtained his PhD (Dr. rer. nat.) from Ludwig-Maximilians-Universität München in 2003, with a doctoral thesis entitled 'Local Smoothing Methods for the Analysis of Multivariate Complex Data Structures.' His early career included a position as Wissenschaftlicher Mitarbeiter at the Institut für Statistik, LMU München from September 1999 to October 2004, followed by a postdoctoral position at the National University of Ireland, Galway from September 2004 to September 2006. He joined Durham University as Lecturer in October 2006, advancing to Professor in February 2020.

Einbeck's research interests encompass nonparametric smoothing, random effect modelling, mixture models, principal curves, and statistical biodosimetry. He has contributed extensively to statistical modelling applications in radiation biodosimetry, educational trials, and multivariate data analysis. Notable publications include his editorship of the book 'Developments in Statistical Modelling: Contributions to the IWSM 2024' (Springer, forthcoming), chapters such as 'A Distance-Based Statistic for Goodness-of-Fit Assessment' (2024), 'Estimating Dose and Time of Exposure from a Protein-Based Radiation Biomarker' (2024, with Cai, Barnard, and Ainsbury), 'Tools for Assessing Goodness of Fit of GLMs: Case Studies in Entomology' (2024), and 'On the Use of Random Effect Models for Radiation Biodosimetry' (2017). He has presented numerous conference papers, including 'Longitudinal analysis of educational outcomes' (2025) and 'A Robust Bayesian Approach for Causal Inference Problems' (2023). Einbeck holds editorial positions as Associate Editor for Advances in Statistical Analysis and Statistical Modelling: An International Journal, and serves as Representative for Working Group Communication on the Executive Committee of the Statistical Modelling Society. He chaired the International Workshop on Statistical Modelling in 2024 and has supervised PhD theses on topics including radiation biodosimetry, latent variable models for clustering and dimension reduction, imprecise regularization, and response transformation models with random effects.