{"id":2981,"date":"2024-09-09T13:58:16","date_gmt":"2024-09-09T11:58:16","guid":{"rendered":"https:\/\/test.it-u.at\/?post_type=professor&p=1777"},"modified":"2026-04-14T12:25:41","modified_gmt":"2026-04-14T10:25:41","slug":"tiago-de-paula-peixoto","status":"publish","type":"professor","link":"https:\/\/it-u.at\/en\/research\/professors\/tiago-de-paula-peixoto\/","title":{"rendered":"Tiago de Paula Peixoto"},"content":{"rendered":"\n

Research group:<\/h2>\n\n\n\n

The \u2018Inverse Complexity Lab<\/a>\u2019 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.<\/p>\n\n\n\n

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Complex Systems and Network Science<\/h3>\n :read more<\/a>\n<\/div><\/div> <\/div>\n <\/div>\n<\/div>\n\n\n
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Short bio:<\/h2>\n\n\n\n

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 S\u00e3o Paulo in 2008. Since 2026, he is Professor of Complex Systems and Network Science at the Center for Critical Computational Studies (C\u00b3S), Goethe University Frankfurt, and is also affiliated with the Department of Network and Data Science at the Central European University. As a Fellow Professor at IT:U, he leads the \u2018Inverse Complexity Lab<\/a>\u2019, 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 Erd\u0151s\u2013R\u00e9nyi Prize from the Network Science Society, and an Alexander von Humboldt Foundation Fellowship.<\/p>\n\n\n\n

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“Our ambition is to render obsolete the reliance on ad hoc<\/em> 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”.<\/p>\nTiago de Paula Peixoto<\/cite><\/blockquote>\n\n\n

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