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Leonardo Rizzo

About

I am a network and data scientist with a background in economics and finance. I work between academic research, executive education and applied analytics.

I am Assistant Professor of Practice at SDA Bocconi School of Management, where I teach social networks, people management and organization design, and the use of AI in organizations; at Bocconi University I teach on Principles of Business Analytics. I am also the data scientist of the Network Innovation Lab, where I work on organizational network analysis projects with companies and build open tools for network analysis.

My research asks how the structure of networks shapes innovation. I did a joint PhD in Network Science and Economics at Central European University, with a thesis on Network Structures and Innovation Dynamics supervised by János Kertész. Along the way I was a visiting researcher at the Complexity Science Hub Vienna — first analysing the Hungarian supply-chain network with the central bank, later modelling innovation dynamics — and at the University of Zurich, where I built a simulation model of cumulative cultural evolution. The questions range widely: how innovators explore the space of possible technologies, how collaboration networks change when firms adopt AI, how social ties shaped a papal conclave, and how cultural evolution made human societies interdependent.

I came to networks from economics and finance. I studied finance at Bocconi, where I gave the graduation speech as the youngest cum laude graduate, then took a joint research master in economics at the Université catholique de Louvain and Bocconi. I worked at the European Commission and at the Banca d’Italia office in New York before moving into complexity science and agent-based modelling, starting with sensitivity analysis of agent-based models with Emanuele Borgonovo.

Alongside research and teaching I run Lyra Analytics, a data science consultancy, and I have advised the Ministry of Finance of Cyprus on the impact of tax incentives. Before that I was Deputy CFO of an energy services company, building the financial models behind projects worth around €300 million.

I’ve been building things on the web for a long time: at ten I started a website about comics and video games that grew to millions of views and more than fifteen contributors. Outside work I race triathlons and play the guitar. I speak Italian, English and some French.

Write to me at leonardo.rizzo@unibocconi.it.

Portrait of Leonardo Rizzo

Work

  1. 2026–

    Assistant Professor of Practice

    SDA Bocconi School of Management

  2. 2025–

    Data Scientist, Network Innovation Lab

    SDA Bocconi School of Management

  3. 2025–

    Researcher, Artificial Intelligence in Corporate Reporting

    SDA Bocconi School of Management

  4. 2019–2020, 2022–

    Academic Fellow, Department of Decision Sciences

    Bocconi University

  5. 2024–

    CEO

    Lyra Analytics

  6. 2021–

    Director

    Innovation Policy Network

  7. 2025–2026

    Independent expert on tax incentives

    Ministry of Finance of Cyprus, Tax Department

  8. 2025

    Visiting Researcher, Emergent Behavior group

    Complexity Science Hub Vienna

  9. 2022–2025

    Researcher, Department of Management and Technology

    Bocconi University

  10. 2022–2023

    Deputy CFO and Risk Manager

    Luxmaster S.p.A.

  11. 2021

    Researcher

    University of Zurich

  12. 2020–2022

    Visiting Researcher, Economics and Finance group

    Complexity Science Hub Vienna

  13. 2019

    Research Assistant, New York Office

    Banca d'Italia

  14. 2018

    Trainee, DG for Economic and Financial Affairs

    European Commission

  15. 2017

    Research Assistant, Department of Decision Sciences

    Bocconi University

Education

  1. 2020–2026

    PhD in Network Science, joint PhD in Economics

    Central European University

  2. 2016–2019

    Master of Research in Economics, Grande Distinction

    Université catholique de Louvain and Bocconi University (joint degree)

  3. 2013–2016

    BSc in International Economics, Management and Finance, 110/110 cum laude

    Bocconi University

Methods, tools and languages

Methods

Network analysis, Agent-based simulation, Sensitivity analysis, Machine learning, Text analysis and NLP, Econometrics, Financial modelling and project finance

Software

Python, R, JavaScript, D3.js, MATLAB, NetLogo, Stata, Gephi, Neo4j, Power BI, LaTeX, Docker, Linux, AWS

Languages

Italian (native), English (fluent), French (conversational)