Curtain talk: Euler Characteristic
Date and time: 27 October, 15:00 – 16:00 CEST (UTC +2)
Speaker: Martina Scolamiero, KTH Royal Institute of Technology
Title: Euler Characteristic
Meeting ID: 695 6088 7455
Abstract: This curtain talk is about the Euler Characteristic: a classical invariant in algebraic topology and how it can be used to study spaces arising from data. The Euler Characteristic of a dataset is a tool in the more general framework of Topological Data Analysis, which I will present from a high-level perspective.
Bio: Martina Scolamiero is an Assistant Professor in Mathematics specialising in Geometry and Mathematical Statistics in Artificial Intelligence at KTH Royal Institute of Technology.
Her research is in Applied and Computational Topology. She mainly works on defining topological invariants suitable for data analysis, understanding their statistical properties, and their applicability in Machine Learning. Martina is also interested in applications of topological methods to Neuroscience and Psychiatry.
The goal of curtain talks is to provide the background and explain the significance of equations for the digital transformation of modern societies.