About me
I am an
econometrician, data scientist, and researcher
in complex networks and complex systems, and I
also work with agent-based models. I have run
simulations with artificial adaptive agents in
a variety of socio-economic fields, and
crunched substantial amounts of data for
twenty years.
In 2017, I turned
my career on its head, got a PhD degree in
Computer Science at the École Normale
Supérieure de Lyon, and started
researching complex networks.
I've since pivoted
to a corporate career, holding leadership
roles in data science, in fintech and
adjacent fields.
My
Erdős number is 3, by the route
Erdős-Lovász-Karsai.
Research
Interests
- Complex Networks
- Agent Based Models
- Computational Economics
- Computational Social Science
- Explainable AI
Boîte à outils
- Python, R
- Gephi
- JavaScript
- C, C++, Objective C
- git, k8s, AWS
Education
École Normale Supérieure de Lyon • PhD in Computer Science ~ 2017.
University of Torino (Italy) • MS graduate of Economics ~ 2001.
Present and past Positions
Data Scientist • Banca CF+ ~ 2023-present.
Data Science Advisor • Batonics AB ~ 2022-present.
Data Scientist • Credimi S.p.a. ~ 2020-2023.
Managing Partner • Yodh Research S.A. ~ 2020-present.
Postdoctoral Researcher • Universität Koblenz-Landau ~ 2019-2020.
Visiting Researcher • National Institute of Informatics, Tokyo ~ 2018.
Summer Researcher • Santa Fe Institute ~ 2016.
Tenured Research Scientist, Adjunct Professor • University of Turin ~ 2008-2019.
Bursary • University of Milan ~ 2008.
Researcher • LABORatorio R. Revelli @ Collegio Carlo Alberto, Moncalieri ~ 2001-2008.
Nonprofit
Vice President, Member of the board of directors • Swarm Development Group1 ~ 2014-present.
Recent Publications (Network Science)
Journal Papers and Conference Papers
- CCS2018, Conference on Complex Systems, “Graph Semi-Supervised Learning through Bridgeness-Biased Random Walks” (with S. De Nigris)
- “The evolution of Japanese business networks in ASEAN countries since the 1960s”, Complex Networks and their Applications VI, pp. 1065-1075, doi: 10.1007/978-3-319-72150-7_86, Springer, 2018 (with J.-P. Bassino, P. Jensen)
- “Detecting Global Bridges in Networks”, Journal of Complex Networks, Volume 4, Issue 3, pp. 319-329, 2016, doi: 10.1093/comnet/cnv022, Oxford University Press (with P. Jensen, T. Venturini, A. Vespignani, M. Jacomy, J.-P. Cointet, P. Mercklé, M. Karsai, E. Fleury) arXiv
- “Revealing the structural flow in dynamical networks” (with P. Flandrin, T. Venturini, E. Fleury, P. Jensen) arXiv
- IC2S2 2017, International Conference on Computational Social Science, “A Mesoscale Description of Networks' Dynamics Through Continuous Partitioning” (with P. Jensen, E. Fleury, M. Karsai)
- ICSP2017, International Conference on Synthetic Populations, IMT Lucca, Italy, “A Simple Model of Coevolution for Macroscopic and Microscopic Levels” (with S. de Nigris)
- Complex Networks, From Theory to Interdisciplinary Applications, Satellite meeting of StatPhys26, Marseille, France, “Detecting Global Bridges in Networks”
- Journée Data Science - Social Science, Science des données et humanités numeriques, Institut des Systèmes Complexes Paris-Île de France (ISC-PIF), Paris, France, “Bridgeness and Scientometrics”
- ECCS14, European Conference on Complex Systems, Lucca, Italy, “Bridgeness: A Novel Centrality Measure to Detect Global Bridges” (with P. Jensen, T. Venturini, A. Vespignani, M. Jacomy, J.-P. Cointet, P. Mercklé, M. Karsai, E. Fleury)
- TopoNets14, NetSci14 Satellite, University of California, Berkeley, CA, “A New Measure to Detect Global Bridges” (with P. Jensen, T. Venturini, A. Vespignani, M. Jacomy, J.-P. Cointet, P. Mercklé, M. Karsai, E. Fleury)
Recent Publications (Economics)
Books, Book Chapters and Journal Papers
- “Swarms Dynamics Approach to Behavioral Economy: Theoretical Tools and Price Sequences”, Networks and Heterogeneous Media, American Institute of Mathematical Sciences, Volume 15, Number 3, September 2020, doi:10.3934/nhm.2020022 (with N. Bellomo, S. De Nigris, D. Knopoff, P. Terna)
- “Rethinking Macroeconomics with Endogenous Market Structure”, Cambridge University Press, 2020 (with M. Mazzoli and P. Terna)
- “Business Cycle in a Macromodel with Oligopoly and Agents’ Heterogeneity: An Agent-Based Approach”, Italian Economic Journal, doi: 10.1007/s40797-017-0058-y, Springer, 2017 (with M. Mazzoli and P. Terna)
- “Agent-based Models of the Economy. From Theories to Applications”, Palgrave Macmillan, London, ISBN 978-1-349-67406-0, 2015 (with R. Boero, M. Sonnessa, P. Terna)
- “Personal Income Tax Reforms: a Genetic Algorithm Approach”, European Journal of Operational Research, doi: 10.1016/j.ejor.2016.07.059, Elsevier Publishing, 2016 (with S. Pellegrino)
- “Agent-based Dynamic Optimization of Fiscal Systems”, in “Agent-based Models of the Economy. From Theories to Applications”, Palgrave Macmillan, London, 2015 (with S. Pellegrino)
- “The Emergence of Cooperation”, in “Agent-based Models of the Economy. From Theories to Applications”, Palgrave Macmillan, London, 2015
- “Employment Security and Employability: A Contribution to the Flexicurity Debate”, European Foundation for the Improvement of Living and Working Conditions Report, ISBN 978-92-897-0828-9, 2008 (with F. Devicienti, A. Maida, A. Poggi, P. Vesan)
1. The Swarm Development Group (SDG) is an American non-profit organization to advance the development of complex adaptive system-oriented agent-based modeling (ABM) tools initiated at the Santa Fe Institute (SFI) in Santa Fe, New Mexico, US. It was formed in 1999 by a group of multidisciplinary scientists, researchers, and software developers, led by Chris Langton. Langton was also the founder of the emerging field of research called artificial life. The initial, primary, role for the SDG was to house continued development of the Swarm simulation software after the software become independent of the SFI in 1999 (from Wikipedia).↩