Associate Professor Riccardo De Bin
Affiliation: Department of Mathematics, University of Oslo
Contact: debin@math.uio.no
Research interest
My research interests can be divided in three main areas:
 Mathematical statistics, where I am mainly interested in the use of pseudolikelihoods for the treatment of nuisance parameters, and, more in general, in the properties of pseudolikelihoods in the twoindex asymptotic framework;
 Statistical learning, where I mainly work with statistical boosting, investigating its properties and developing novel algorithms for biomedical applications, focusing on data integration and survival analysis;
 Resampling techniques, with focus on their use in variable selection procedures, model stability investigations, and identification of influential points.
Short bio
After my studies in Statistics, I was admitted to the PhD program in Statistics at the University of Padova (Italy), where I investigated the asymptotic properties of pseudolikelihoods used to treat nuisance parameters.
During that period, I had the chance to visit for one year the Northwestern University of Evanson, Illinois (USA).
After I got my PhD degree and spent a brief period as Research Assistant at the University of Padova, I moved to the LudwigMaximiliansUniversität of Munich (Germany), where I worked as a postdoctoral fellow on methodological problems related to prediction models for biomedical applications, with particular focus on data integration.
I then moved to the Radboud University Medical Center of Njmegen (The Netherlands), where I worked as Assistant Professor, until I joined the University of Oslo (Norway) in October 2016.
Currently I am Associate Professor in the Section of Statistics and Data Science at the Department of Mathematics.
Supervisor for the following CompSci projects

Chemistry
 Catalyst Discovery by Combining Computational Chemistry with Machine Learning (available in call 1)

Mathematics and Statistics
 Statistical learning method for chemistry applications (available in call 1)