Patrick Groenen

Erasmus School of Economics

Patrick J.F. Groenen is a professor of statistics at the Erasmus School of Economics (ESE). He currently is also dean of that school. Professor Groenen’s work focuses on data science techniques and their numerical algorithms. He is the co-author of several textbooks on multidimensional scaling published by Springer and has published articles in the top peer-reviewed journals including, among others, the Journal of Machine Learning Research, the Journal of Marketing Research, Psychological Methods, Psychometrika, the Journal of Classification, Computational Statistics and Data Analysis, the British Journal of Mathematical and Statistical Psychology, and the Journal of Empirical Finance.

https://www.eur.nl/people/patrick-groenen

Sugnet Lubbe

Stellenbosch University, South Africa

Her field of research is focused in general on multivariate data analysis, and more specifically multidimensional visualisation. After 13 years in industry she moved to academia in July 2009 as associate professor at the University of Cape Town. In January 2017 she joined Stellenbosch University as professor in statistics. Her research is both on theoretical developments of methods for visualisation, R software development to implement methods and applications leading to new extensions of current methodology. Together with Prof Niël le Roux and Prof John Gower they published the monograph, Understanding Biplots in 2011. In 2021 the research team was formalised into the Centre for Multi-dimensional Data Visualisation, also known as MuViSU. Since inception she have been heading up this dynamic team of researchers currently consisting of 22 members and 6 post graduate students.

Irène Gijbels

KU Leuven, Belgium

I. Gijbels is Full Professor in Statistics at the Mathematics Department at the University of Leuven, Belgium. She is an expert in semi-and nonparametric statistics, with particular interests in flexible regression modelling and copula-based dependencies. She published more than 160 papers, and a, with J. Fan, book on “Local Polynomial Modelling and Its Applications” (1996) . She is a Fellow of the Institute of Mathematical Statistics, of the American Statistical Association, and is elected member of the International Statistical Institute. She is member of the Belgian Royal Academy of Sciences.

Arnoldo Müller-Molina

University of Chicago, USA

Arnoldo founded simMachines, an award-winning similarity search company. simMachines pioneered the field of Explainable A.I., successfully deploying the technology in Fortune 500 companies.
The company was acquired by InRule Inc. in 2021. Before becoming an entrepreneur, Arnoldo was a postdoc at the Max Planck Institute for Molecular Biomedicine. He began his career at Intel developing data extraction and transformation tools for factory and financial data. Arnoldo holds a Ph.D. and MSc from Kyushu Institute of Technology Japan. His work in AI has been featured in well-known publications such as Forbes and awarded by MIT Technology Review TR35. Arnoldo is the CTO of the TMW Center at the University of Chicago, where he builds an AI powered wearable technology for Early Childhood Education and policy making.

Mark de Rooij

Leiden University, The Netherlands

Mark de Rooij is professor of AI and Data Theory at the Methodology and Statistics department at Leiden University. His main research line is about the analysis and visualization of multivariate categorical response variables. Therefore, he combines ideas from various types of logistic regression with those of biplots. Another research line is about multi-view data for supervised analysis, where he specifically investigates so-called late fusion methods.

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