Shayan Hundrieser
Institute for Mathematical Stochastics, University of Göttingen, Germany

I find it fascinating to mathematically describe statistical problems in order to obtain novel insights, but I also enjoy mathematics for its own sake.
Having recently completed my Ph.D. studies, fortunate to being supervised by Axel Munk, I have built a solid foundation in mathematics and statistics, which has fueled my passion for exploring cutting-edge frontiers of mathematical data science and machine learning. My current research focuses on the intricate fields of statistical optimal transport and statistics on non-Euclidean spaces. As part of my theoretical efforts, I have also devised refined methods for climate analysis, showcasing my ability to drive innovation and offer valuable practical contributions. Selected works are outlined below; a full list of my publications is detailed here.
If you seek to contact me, you can reach me via email under:
s[dot]hundrieser[at]math.uni-goettingen.de
News
Feb 10, 2025 | Our work “Unbalanced Kantorovich-Rubinstein distance, plan, and barycenter on finite spaces: A statistical perspective” has been accepted by the Journal of Machine Learning Research. |
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