Rate My Professor Jacek Brodzki

Professor Jacek Brodzki serves as Professor of Pure Mathematics and Head of the School of Mathematical Sciences at the University of Southampton. He obtained his D.Phil. from the University of Oxford in 1990, with Daniel Quillen as his advisor. Brodzki's research encompasses topological data analysis, noncommutative geometry, K-theory of operator algebras, coarse geometry, and mathematical physics. His work explores applications of topology to medicine, biology, chemistry, physics, and computer science, including topological methods for disordered materials and topological states of matter. He has established two research groups funded by EPSRC grants and fostered extensive interdisciplinary collaborations spanning mathematics, physics, medicine, genetics, computer science, and electrical engineering. Brodzki directed the programme 'Joining the Dots: From Data to Insight,' which integrates topological data analysis with machine learning and statistics. He co-founded and directs the Centre for Geometry, Topology, and Applications and leads the Southampton node of the £10M EPSRC programme 'Mathematical Foundations of Intelligence: An Erlangen Programme for AI.' His leadership extends to projects such as 'Analysis and Geometry of Metric Spaces,' 'New Directions in Noncommutative Geometry,' and 'Taming Disorder in Self-Assembled Materials with Topology,' supported by EPSRC, Leverhulme Trust, Alan Turing Institute, and others.

Brodzki's scholarly output includes key publications like 'Multiscale Geometrical and Topological Learning in the Analysis of Soft Matter Collective Dynamics' (2026, Physical Review Materials), 'Topological Learning for the Classification of Disorder: An Application to the Design of Metasurfaces' (2023, ACS Nano), 'Tracking the Time Evolution of Soft Matter Systems via Topological Structural Heterogeneity' (2022, Communications Materials), 'On the Baum-Connes Conjecture for Groups Acting on CAT(0)-Cubical Spaces' (2020, International Mathematics Research Notices), 'A Differential Complex for CAT(0) Cubical Spaces' (2019, Advances in Mathematics), and 'Improved Understanding of Aqueous Solubility Modeling through Topological Data Analysis' (2018, Journal of Cheminformatics). He holds a fellowship with the Alan Turing Institute since 2019 and actively supervises PhD students in topological data analysis and noncommutative geometry.