Germain Van Bever

Germain Van Bever is a Research Fellow (FNRS) at Université Libre de Bruxelles (2016–2018) and a former Research Associate at The Open University (2014–2016). He is affiliated with the Namur Institute for Complex Systems. His expertise spans statistical depth, functional data analysis, and high-dimensional classification.

Education: Doctor of Science in Contributions to Nonparametric and Semiparametric Inference based on Statistical Depth from Université Libre de Bruxelles (2013).

Research interests include statistical depth measures, asymptotic solutions, and applications in functional data. Recent projects focus on imperfect data analysis and high-dimensional classification methods. He has contributed to over 22 research outputs, with notable work on influence functions and functional data prediction.

Awards: None explicitly mentioned beyond academic degrees.

Grants: Active in projects like 'IMAL: Imperfect Data: From Mathematical Foundations to Applications in Life Sciences' (2020–2025) and 'High-dimensional and functional classification' (2020–2021).

Labs/Teams: Collaborates with the Namur Institute for Complex Systems and co-leads research initiatives in statistical foundations and applications.