Wicher’s research is focused on statistical modelling and estimation. His main current interests are in (empirical) Bayes regression analysis, graphical models and conditional independence, categorical data analysis, and measurement of and testing for association. He is interested in a wide variety of applications including in social science, genetics, and machine learning.
Wicher joined LSE as a Lecturer in 2005, after completing postdoctoral fellowships at Eurandom in Eindhoven and Tilburg University. Prior to that, he studied Mathematics at Leiden University, did his PhD in Social Statistics at Tilburg University, and worked for one year as an Assistant Professor in Statistics at the Central European University in Budapest, Hungary. He has experience in the application of statistical methods in industry, in particular through projects with GlaxoSmithKline on clinical trials, and with Flextronics and Oce on fault detection in photocopying machines.