Andreas Alfons is an Associate Professor based in the Randstad with 13 years of experience building statistical software and advancing robust methods for data analysis. He develops high-performance R and C/C++ implementations and maintains several R packages used for robust multivariate and high-dimensional statistics. His research applies robust statistics and machine learning to behavioral and actuarial sciences, bridging theory with practical tools for data exploration and visualization. Earlier roles include postdoctoral research at KU Leuven and a data science stint at DataCamp, reflecting both academic depth and industry-facing product work. He has a Dr.techn. in Statistics and a background in mathematics and computer science, which underpin his focus on reproducible, well-engineered statistical software. Colleagues value his knack for turning complex robustness ideas into usable packages and insightful visualizations that reveal structure in noisy real-world data.
13 years of coding experience
10 years of employment as a software developer
Vienna University of Technology
Exchange student, Mathematics and Computer Science, Exchange student, Mathematics and Computer Science at University of Groningen
:exclamation: This is a read-only mirror of the CRAN R package repository. ICS — Tools for Exploring Multivariate Data via ICS/ICA
Contributions:2 reviews, 1 PR, 55 pushes in 2 years 1 month
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