Assistant Professor
Centre of Quantum Mathematics
Dept of Math and Computer Science
University of Southern Denmark
My research focuses on problems in diffusion geometry and Bayesian statistics, that are motivated by the open challenges of extracting stable and interpretable information from high-dimensional data. On the theory side, I build algorithms and probabilistic models on geometric objects for dimension reduction, inference, regression and related machine learning problems. On the applied side, I use my work on anatomical surfaces (typically, teeth and bones of primates) to gain insights about evolutionary processes. On the implementation side, I develop robust and easy-to-use software to bridge the gap between research and practice.
Shan, S., Kovalsky, S. Z., Winchester, J. M., Boyer, D. M., & Daubechies, I. aria DNE: A Robustly Implemented Algorithm for Dirichlet Energy of the Normal. Methods in Ecology and Evolution. (webpage)