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Martina Scolamiero is an Associate Professor at KTH Royal Institute of Technology, specializing in Geometry and Mathematical Statistics. She has a robust research background in Applied Computational Topology and is currently serving as Associate Director for Seminars and Workshops. Her work is focused on defining topological invariants suitable for data analysis and understanding statistical properties and applicability in Machine Learning. Martina has a keen interest in the applications of topological methods in Neuroscience and Psychiatry. She is a fellow funded by the Knut and Alice Wallenberg Foundation since December 2019. Additionally, she is involved in the WASP initiative, which is Sweden's largest individual research program aimed at advancing artificial intelligence and autonomous systems. The program promotes extensive interdisciplinary collaboration and aims to prepare graduates for contributions in this dynamic field.
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