Rate My Professor Eduardo Goldani Altmann

Professor Eduardo Goldani Altmann is a Professor in the School of Mathematics and Statistics within the Faculty of Science at the University of Sydney. His research centers on mathematical models and computational methods to study complex systems and data science. He investigates how order emerges in complex systems, particularly through statistical laws observed in data from natural language, urban systems, and online social networks. Altmann develops and applies techniques from complex networks, non-linear dynamics, computational natural language processing, information theory, and statistical physics. As a key researcher in the Networks and Complex Systems group at the School of Mathematics and Statistics, he contributes to understanding dynamics across vast temporal and spatial scales, including gene and brain networks, language evolution, information spreading in social media, coupled oscillators, and climate dynamics. His work employs methodologies from dynamical systems theory, graph theory, statistical mechanics, inverse modeling, and Bayesian statistics to unravel qualitative statistical behavior and functional structures in networks.

Altmann leads the Complex Systems and Data Science group at the University of Sydney, collaborating with Associate Professor Tristram Alexander from the School of Physics, postdocs, PhD students, and undergraduates. The group focuses on the complexity of natural and social systems using mathematical models and computational techniques, covering areas such as collective behavior, extreme events, statistical properties of natural language, social-media models, topic modeling, time-series analysis, transient chaos, billiards, and chaos in Hamiltonian systems. In 2024, he authored the book Statistical Laws in Complex Systems: Combining Mechanistic Models and Data Analysis, published in Springer's Understanding Complex Systems series. He has co-authored significant research, including a 2023 study on hidden structures in communication networks like Twitter, revealing key patterns with implications for social media and transport systems. Altmann maintains an active presence through collaborations across disciplines, including the Computational Social Science Lab and the Centre for Complex Systems.