Tomaso Aste's Inaugural Lecture
Date and time
Location
Roberts 106 LT
Roberts Building UCL London WC1E 7JE United KingdomDescription
Predictive modeling for a complex world: a data-driven perspective
(a drinks reception will follow)
Abstract
We all experience complexity in everyday life where simple answers are hard to find and the consequences of our actions are difficult to predict. Understanding and modeling the complex nature of things, peoples and societies have become a crucial scientific challenge with great practical impact. The current big-data revolution has provided unprecedented access to large amount of data for modeling, forecasting and testing complex systems. However, analyzing, understanding, filtering and making use of such a large amount of data have also become a challenging activity across science, industry and society.
Tomaso’s approach to the solution of these challenges has been to combine network theory, statistical physics, data science, multiscale analysis and computational methods to unwind complexity and produce models that are capable to make reliable predictions.
Biography
Tomaso graduated in Physics at the University of Genoa and has a PhD in Material Sciences from Politecnico di Milano. He is Head of the Financial Computing and Analytics Group at UCL, Director of the UCL Centre for Blockchain Technologies, Programme Director of the MSc in Financial Risk Management, Vice Director of the Centre for Doctoral Training in Financial Computing and Analytics, Member of the Board of the ESRC funded LSE-UCL Systemic Risk Centre. He collaborates with many major financial institutions, with regulators and with a large number of start-ups and businesses in the FinTech and digital economy area.
Prior to UCL, Tomaso was Reader at the School of Physics, University of Kent and before Associate Professor at the Department of Applied Mathematics at The Australian National University. He was Marie Curie Fellow at the University of Strasbourg and he had been associated with several institutions including University of Oxford, Imperial College and The University of Genoa.