cv
research
Oct 2021-present - Bank of Italy, Applied Research Team of the IT Directorate, research scientist
Sep 2019-Sep 2021 - International School for Advanced Studies (SISSA), Data Science and Statistical Biophysics groups, postdoctoral researcher
Feb 2020 - Harvard University, Materials Intelligence Laboratory, visiting scientist
Feb 2019-July 2019 – King’s College London, Physics department, postdoctoral researcher
Oct 2015-Jan 2019 - King’s College London, Physics and Mathematics departments, PhD student
Dec 2018 - The Alan Turing Institute, hackathon participant
July 2018-Sep 2018 - The Alan Turing Institute, summer intern
Oct 2017-Dec 2017 - International Centre for Theoretical Physics (ICTP), Quantitative Life Sciences group, visiting student
education
Oct 2015–Jan 2019 - PhD in Computational Physics, King’s College London
Sep 2014–Sep 2015 - Master in Applied Mathematics, King’s College London
recognitions and prizes
- Member of the ELLIS Society (2025) [website]
- Chat Bankman-Fried? An Exploration of LLM Alignment in Finance is featured on the front page of the Sole 24 Ore magazine (2025)
- Agent based modelling at central banks is featured on the front page of the Central Banking magazine (2025) [website]
- Robust Policy Design in Agent-Based Simulators using Adversarial Reinforcement Learning wins the best paper award of Multi-Agent AI in the Real World (2025) [website]
- DADApy is included in a “best-of” list as the best unsupervised learning package for use in physics (2023) [website]
- Elsevier outstanding PhD thesis prize (2020)
- Italy made me award (2019) [website]
- IoP PhD thesis prize (2019) [website]
- PRB Editors’ Suggestion (2018) [website]
- student prizes: Runner up for TYC best talk (2018), CNR scholarship (2016), Nelkon prize (2014), Wheatstone prize (2014), Nikon prize (2014), Gordon Rogers scholarship (2013), DAAD scholarship (2013)
peer reviews
AI conferences - NeurIPS, ICLR, ICML, AISTATS, others
physics journals - PRL, PRX, PRB, PRE, Journ. of Comp. Phys., Springer Lecture Notes in Physics, others
organising/program committees
- Nontraditional Data, Machine Learning, and Natural Language Processing in Macroeconomics - (ECONDAT, 2024) [website]
- AI for Financial Institution at AAAI (FinST, 2023) [website]
- Young Researcher’s Workshop on Machine Learning for Materials Science (MLMS, 2019) [website]
- Workshop on Localisation in Quantum Systems (WoLQS, 2017) [website]