Tomaso Aste is professor of Complexity Science at UCL Computer Science Department.
A trained Physicist, he has substantially contributed to research in complex structures analysis, financial systems modelling, artificial intelligence and machine learning.
Prof. Aste is leading research on complexity science and network theory applied to socio-economic systems. He is passionate in the investigation of the interplay between technologies and socio-economic systems. He works with regulators on the application of FinTech and Blockchain to financial regulation.
He is co-founder and Scientific Director of the UCL Centre for Blockchain Technologies, founder and Head of the Financial Computing and Analytics Group at UCL, Member of the Board of the ESRC LSE-UCL Systemic Risk Centre and Member of the Board of the Whitechapel Think Thank.
He collaborates with the Financial Conduct Authority, The Bank of England and HMRC. He contributes the All-Party Parliamentary Group on FinTech. He is leading an initiative for training to FinTech central bankers and regulators across South America. He is advisor and consultant for several financial companies, banks, FinTech firms and digital-economy start-ups. He created for Master Programmes at UCL ranging from Risk Management to the Digital Economy.
Albert Diaz-Guilera got his degree in Physics at Universitat de Barcelona (1983). PhD in Science at Universitat Autonoma de Barcelona (1987). Postdoctoral stays in Gorlaeus Laboratories (Leiden, The Netherlands) and “Centre de Physique de Solide” (Sherbrooke, Canada).
His research is currently focused on general aspects of complexity, particularly in complex networks. Being by education a statistical physicist, his research lines had been broadening to cover aspects in many different fields: biology, economy, social sciences, computer science, linguistics.
Direct collaborations with scientists with different backgrounds have been possible by means of stays in different centers (Mathematics at Imperial College London, Chemical and Biological Engineering at Northwestern University, Ecologia UNAM, Potsdam Institute of Climatogy, Potsdam Psychology, Sociology at ETHZ).
Author of more than 100 articles in physics and interdisciplinary journals. He has given about one hundred of talks at conferences and research centers.
Leader of the research group PHYSCOMP2, PI of projects from Catalan and Spanish Governments and EU. Director of the Universitat de Barcelona Institute of Complex Systems
Matteo Matteucci is Associate Professor at Dipartimento di Elettronica Informazione e Bioingegneria of Politecnico di Milano, Italy.
In 1999 he got a Laurea degree in Computer Engineering at Politecnico di Milano, in 2002 he received a Master of Science in Knowledge Discovery and Data Mining at Carnegie Mellon University (Pittsburgh, PA), and in 2003 he got a Ph.D. in Computer Engineering and Automation at Politecnico di Milano (Milan, Italy).
His main research topics are pattern recognition, machine learning, machine perception, robotics, computer vision and signal processing. His main research interest is in developing, evaluating and applying, in a practical way, techniques for adaptation and learning to autonomous systems interacting with the physical world.
He has co-authored more than 50 (peer-reviewed) papers on international journals, 25 papers in International Books, and more than 150 (peer-reviewed) contributions to international conferences and workshops.
He has been the principal investigator in national and international funded research projects on machine learning, autonomous robots, sensor fusion and benchmarking of autonomous and intelligent systems.
Josef Teichmann, ETH Zurich
Christoffer Kok, Deputy Head of Division, Stress Test Modelling, Directorate General Macroprudential Policy and Financial Stability, European Central Bank
Paolo Giudici, Professor of statistics at the University of Pavia
Andrea Prampolini, Head of Financial Markets Analytics & Digital Solutions, IMI C&IB Division, Intesa Sanpaolo