Rick Willemsen

Rick Willemsen is a Lecturer in the Department of Econometrics at the Erasmus School of Economics, Erasmus University Rotterdam. His academic work lies at the intersection of mathematical programming, statistical data analysis, and computational optimization.

Research Interests: His primary research focuses on correspondence analysis, hierarchical clustering, and dimension reduction techniques. He employs mathematical and mixed integer programming to develop exact and inverse solutions for statistical problems involving categorical data and contingency tables. His methodological contributions aim to improve the accuracy and interpretability of clustering and dimensionality reduction methods in econometric and data science applications.

Publication Trends: Over recent years, Rick has published on exact algorithms for hierarchical clustering, uniqueness conditions in correspondence analysis, and novel optimization approaches for inverse problems. His research consistently integrates theoretical rigor with practical computational implementation, as evidenced by both journal articles and software outputs.

• Scientific Awards: No awards mentioned in the provided text.

Advising and Grants: There is no public information available on students advised or grants received. However, his recent completion of a doctoral thesis suggests he is in the early stage of his independent academic career.

Labs and Research Teams: Rick Willemsen collaborates closely with researchers such as Michel van de Velden and Willem van den Heuvel, likely within the Data Science or Quantitative Methods group at Erasmus School of Economics. His work appears to be part of a broader effort in developing optimization-based tools for statistical data analysis.