Matteo Morini
Denkkappe, Swarm Development Group, To-Ca$h
Lugano, Tessin, Switzerland matteo arobase swarm.org.gif)
http://orcid.org/0000-0002-5328-8613
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About me
I am a chief data officer, operating at the intersection of complex networks, agent-based models, and fintech. I have designed adaptive agents simulations for socio-economic systems, and scaled data architecture.
After a decade in quantitative economics and computational research, I completed my PhD degree in Computer Science at the École Normale Supérieure de Lyon, specializing in graph theory and network dynamics. Since then, I have transitioned into C-level and senior advisory roles, leading cross-functional data science/engineering, explainable AI (xAI), and analytics teams.
Fun fact: my Erdős number is 3, by the route Erdős-Lovász-Karsai.
Resume
Research
Interests
- Complex Networks
- Agent Based Models
- Computational Economics
- Computational Social Science
- Explainable AI
Boîte à outils
- Python (data science and ML stack), R, C, Objective C
- Gephi, networkx
- git, CD/CI, AWS, Azure
Leadership and professional experience
Corporate and executive roles
Chief Data Officer @ To-Ca$h • Directing data architecture, governance, and analytics strategy to scale core financial services • 2023-present.
Chief Artificial Intelligence Officer @ Unravel Global OY • Steering AI roadmaps, algorithm integration, and machine learning models for market intelligence • 2024-present.
Head of Data @ Yodh Research S.A. • Leading core data strategy and quantitative model development • 2020-present.
Data Scientist @ Banca CF+ • Applied advanced analytics and risk/credit modeling within corporate digital banking • 2023-2024.
Data Science Advisor @ Batonics AB • Strategic advisory on data-driven product features, predictive modeling, and scalable analytics • 2022-2025.
Data Scientist @ Credimi S.p.a. • Developed credit scoring algorithms and automated decision pipelines for small-and-medium enterprise (SME) lending • 2020-2023.
Academic and research appointments
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.
Education
École Normale Supérieure de Lyon • PhD in Computer Science • 2017.
University of Torino (Italy) • MS graduate of Economics • 2001.
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).↩