Tiago de Paula Peixoto
Research group:
The ‘Inverse Complexity Lab’ uses mathematics and computation to discover the hidden rules that govern the behavior of microbes, neurons, diseases, economies, and humans from large amounts of digital data.
Short bio:
Tiago de Paula Peixoto received his habilitation in theoretical physics at the University of Bremen in 2017. Previously, he was an Associate Professor at the Central European University, Vienna (2019-2024), an Assistant Professor in Applied Mathematics at the University of Bath (2016-2019), External researcher at the ISI Foundation, Turin (2015-2020), and post-doc researcher at the University of Bremen (2011-2016) and Technical University of Darmstadt (2008-2011). He received his PhD in physics at the University of São Paulo in 2008. At IT:U he leads the ‘Inverse Complexity Lab’, which combines statistical physics, computational statistics, information theory, Bayesian inference, and machine learning to study inverse problems in network science and complex systems. His work was recognized with the Erdős–Rényi Prize from the Network Science Society, and an Alexander von Humboldt Foundation Fellowship.
Our ambition is to render obsolete the reliance on ad hoc heuristics in the field of network data analysis, and transition instead to a mature and robust methodological framework that is derived from fundamental principles and is grounded in solid statistical theory.
Tiago de Paula Peixoto
