I joined the working group Computational Statistics at the Ludwig-Maximilians-University Munich as a PhD
student in 2013 and since 2014 I am the vice-chairman of the Münchner R Kurse.
Besides that I am an active developer for a variety of R-packages and one of the main developers of
OpenML (Open Machine Learning in R). From 2011-2015 I've worked for the Statistical Advisory Lab
(StabLab) and as a teacher for various courses.
My Research Interests are reproducible research, predictive modelling, as well as automatic and interpretable machine learning.
I have a Bachelor's Degree (B.Sc.) and Master's Degree (M.Sc.) in Statistics from the Ludwig-Maximilians-University Munich.
Institut für Statistik
Room 344, 3rd floor
Phone: +49 89 2180 3196
giuseppe.casalicchio [at] stat.uni-muenchen.de
- Reproducible Research
- Predictive Modelling
- Automatic and Interpretable Machine Learning
You Can Find me on
|||P. Probst, Q. Au, G. Casalicchio, C. Stachl, and B. Bischl. Multilabel Classification with R Package mlr. The R Journal, 2017. [ bib | .html ]|
|||G. Casalicchio, B. Bischl, A.-L. Boulesteix, and M. Schmid. The residual-based predictiveness curve: A visual tool to assess the performance of prediction models. Biometrics, 72(2):392–401, 2016. [ bib | DOI | http ]|
|||G. Casalicchio, G. Tutz, and G. Schauberger. Subject-specific Bradley-Terry-Luce models with implicit variable selection. Statistical Modelling, 15(6):526–547, 2015. [ bib | DOI | arXiv | http ]|
|||S. Bergmann, N. Ziegler, T. Bartels, J. Hübel, C. Schumacher, E. Rauch, S. Brandl, A. Bender, G. Casalicchio, M.-E. Krautwald-Junghanns, et al. Prevalence and severity of foot pad alterations in German turkey poults during the early rearing phase. Poultry Science, 92(5):1171–1176, 2013. [ bib | DOI ]|
|||N. Ziegler, S. Bergmann, J. Huebei, T. Bartels, C. Schumacher, A. Bender, G. Casalicchio, H. Kuechenhoff, M.-E. Krautwald-Junghanns, and M. Erhard. Climate parameters and the influence on the foot pad health status of fattening turkeys BUT 6 during the early rearing phase. Berliner und Münchner Tierärztliche Wochenschrift, 126(5-6):181–188, 2013. [ bib ]|
Technical Reports (Not Peer Reviewed)
|||G. Casalicchio, J. Bossek, M. Lang, D. Kirchhoff, P. Kerschke, B. Hofner, H. Seibold, J. Vanschoren, and B. Bischl. Openml: An r package to connect to the networked machine learning platform openml. arXiv preprint arXiv:1701.01293, 2017. [ bib | http ]|