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Hanne Kekkonen is an Assistant Professor at TU Delft, specializing in statistical inverse problems and uncertainty quantification. She has a strong academic background with significant positions, including Research Fellow at the University of Cambridge and the University of Warwick. Her research interests primarily focus on Bayesian non-parametric models. Throughout her career, Kekkonen has contributed to several notable publications in the field, including work on Crocheting Bour's Minimal Surfaces and Random Tree Besov Priors. She has also engaged in teaching various courses related to statistical learning and inverse problems. She completed her PhD at the University of Helsinki, focusing on mathematical methods applicable to statistical analysis. Kekkonen has demonstrated an ongoing commitment to academic excellence and innovation in her research, contributing to the understanding of complex mathematical concepts in practical applications.
TU Delft • Delft, Netherlands
Engaged in research and teaching in the field of statistical inverse problems.
University of Cambridge • Cambridge, UK
Conducted research in advanced statistical methods.
University of Warwick • Warwick, UK
Focused on statistical modeling and its applications.
University of Helsinki • Helsinki, Finland
Researched mathematical aspects of statistical inference.
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