talks

A list of invited seminars and lectures given, broadly cathegorised in three groups: “AI/ML for Science”, “AI/ML” and “AI/ML for Econ”.

invited talks

2025

  1. AI/ML for Econ
    Queen Mary University of London, CQM workshop
    ABMs at central banks: Open source software and machine learning methods for faster and more robust modelling, Apr 2025
    Website
  2. AI/ML for Econ
    Collegio Carlo Alberto, Informal meetings on complexity field
    ABMs at central banks: Open source software and machine learning methods for faster and more robust modelling, Apr 2025
    Website
  3. AI/ML
    ISI Foundation, Data science seminars
    Intrinsic dimensions, densities and the Information Imbalance: Remarkably simple yet effective tools for the data scientist, Apr 2025
    Website
  4. AI/ML for Econ
    Oxford Univerisity, Complexity economics seminar series
    Machine Learning for Economic ABMs: From Fast Calibration to AI-Agents, Feb 2025
    Website

2024

  1. AI/ML for Econ
    Catholic Univerisity of Milan, Complexity lab in economics
    Machine learning for Economic ABMs: From Fast Calibration to AI-Agents, Dec 2024
    Website
  2. AI/ML for Econ
    Oxford University, Robust agent-based modeling at scale
    From agent-based simulation to multi-agent reinforcement learning: The experience of the Applied Research Team, Jun 2024
    Website
  3. AI/ML for Econ
    International Institute for Applied Systems Analysis (IIASA), MacroABM workshop
    A fast and modular Julia package for macroeconomic simulations: solid foundations for a world of extensions, Apr 2024
    Website

2023

  1. AI/ML for Econ
    Utrecht University, Workshop on price volatility in goods and services markets
    The ART of ABM, The work of the Applied Research Team on Agent-Based Modelling, Nov 2023
  2. AI/ML
    Bayes Comp, New tools for high-dimensional Bayesian inference from physics and ML
    The information imbalance, a tool to measure the relative information content of distance measures, Mar 2023
    Website
  3. AI/ML for Econ
    Oxford University, AI4ABM group
    Reinforcement learning for the calibration of economics ABMs, Mar 2023

2021

  1. AI/ML
    Cambridge University, Machine learning in physics seminar
    Ranking the information content of distance measures through the information imbalance, Jun 2021
    Website
  2. AI/ML
    International Centre for Theoretical Physics (ICTP), Youth in high-dimensions
    Ranking the information content of distance measures, Jun 2021
    Video Website
  3. AI/ML
    Oxford University, Human information processing group
    Understanding deep networks through a novel set of numerical tools, Mar 2021

2020

  1. AI/ML for Science
    Cambridge University, Machine learning in physics seminar
    Representing many-body wave functions using Gaussian processes, May 2020
    Website
  2. AI/ML for Science
    Harvard University, Computational physics seminar
    Bayesian inference in condensed matter physics, Feb 2020
    Website

2019

  1. AI/ML for Science
    Institute of Physics, IoP festival of science
    Learning force fields and wave functions, Oct 2019
    Website

lectures

2022

  1. AI/ML
    International School for Advanced Studies (SISSA), Workshop
    Lecture and hands-on tutorial on unsupervised learning, May 2022
    Video Website

2021

  1. AI/ML
    University of Trieste, Master course
    Guest lecture on deep learning, Apr 2021
  2. AI/ML for Science
    TU Clausthal, Summer school
    Two day course on machine learning for physics, Mar 2021

2020

  1. AI/ML
    University of Pavia, Summer school
    Mini course on machine learning for physics, Sep 2020
    Website

2019

  1. AI/ML for Science
    Aalto University, Workshop
    Lecture on Gaussian process regression for physics, May 2019
    Video Website