Associate Professor Riccardo De Bin
Affiliation: Department of Mathematics, University of Oslo
My research interests can be divided in three main areas:
- Mathematical statistics, where I am mainly interested in the use of pseudo-likelihoods for the treatment of nuisance parameters, and, more in general, in the properties of pseudo-likelihoods in the two-index 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.
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 pseudo-likelihoods 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 Ludwig-Maximilians-Universität 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
- 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)