Nello Blaser

Nello Blaser is a postdoctoral research fellow at the Department of Mathematics, University of Bergen. He holds a PhD in mathematical modeling and biostatistics from the University of Bern and an undergraduate degree in mathematics from ETH Zürich, with a focus on probability theory and stochastic processes in mathematical finance. His current research bridges topological data analysis, statistics, and machine learning, emphasizing practical applicability in biomedical sciences.

Blaser’s work focuses on advancing topological methods for large datasets, integrating them into biostatistical workflows, and validating their use with supervised learning techniques. His recent publications span deep learning, parameterized complexity theory, and computational topology, with applications in biomedical data analysis, network modeling, and medical imaging.

His research includes 15 recent publications (2022–2025) on topics such as rotation-equivariant neural networks, bifiltration stability, and HIV/TB modeling. Key trends involve topological data analysis, uncertainty quantification in machine learning, and multi-dimensional biomedical data validation.