Nello Blaser

Position

Associate Professor

Affiliation

Research groups

Research

My research interests are focused on topological methods in statistics and machine learning. Topological data analysis refers to the analysis of data shape. My research spans from encoding of data into filtered simplicial complexes (topological representation), approximations of filtered simplicial complexes (sparsification), validation measures of unsupervised persistent homology, data benchmarks, efficient vector representations of persistent homology for supervised machine learning and applications of topological methods in biology and geophysics.

Publications
Academic article
Short communication
Academic chapter/article/Conference paper
Academic lecture
Poster
Article in business/trade/industry journal
Lecture

See a complete overview of publications in Cristin.