My research project is researching the role of fairness in a multi agent interactive systems. My interests focus on researching how fairness changes in different agent contexts, where the assumptions behind the systems change. I believe this AI related challenge may bring benefits to other subjects such as economics, philosophy and behavioral science.
The CDT offers the chance to both deepen the different aspects related to multi-agent systems through seminars, core modules and lectures and to widen the horizons towards further disciplines, making the interdisciplinary a strong pillar of the research.
Undergraduate Qualification: Bachelor degree in Accounting and Business, University of Eastern Piedmont
- Master degree in Accounting and Business, University of Eastern Piedmont
- MSc Quantitative Finance, EMLYON Business School
- Research assistant at the University of Cambridge – 2 years
- Risk Officer at Deutsche Boerse
Conferences/Papers: La Malfa G, La Malfa E, Latora V, Nicosia G, 2021 Characterizing Learning Dynamics of Deep Neural Networks via Complex Networks The 33rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2021