معرفی
Nello Blaser is a Professor at the Department of Informatics at the University of Bergen. His research focuses on topological data analysis (TDA), particularly in developing methods for encoding data into topological structures, validating unordered persistent homology, and applying these techniques in biomedicine and geophysics. He has contributed to theoretical advancements in TDA, including works on relative persistent homology and divisive cover algorithms. His interdisciplinary work bridges computer science, mathematics, and environmental science, addressing challenges in CO2 leak detection, marine pollution, and medical diagnostics.
Blaser's research portfolio includes collaborations on machine learning models for flow reconstruction, receptor occupancy studies in neurology, and topological methods for analyzing gene interactions. He has been funded by the Research Council of Norway and other institutions. Notable publications include contributions to Discrete & Computational Geometry, Physics of Fluids, and Neurology: Neuroimmunology and Neuroinflammation.
His work emphasizes practical applications of topological methods, such as improving environmental monitoring systems and advancing diagnostic tools for diseases like rheumatoid arthritis and multiple sclerosis.
