H2O: Higher-Order pattern-discovery in High-dimensional data
Name of applicant
Nina Dörnemann
Title
Assistant Professor
Institution
Aarhus University
Amount
DKK 79,000
Year
2025
Type of grant
Conferences
Summary
We explore how shapes, trends, and complex patterns hide in modern data — from vehicle movements in large traffic networks to brain maps displaying thousands of neural connections. This two-day workshop brings together experts in topological data analysis, time series, and high-dimensional statistics to better understand today’s data-rich world.