My research focuses on reinforcement learning applied to multi-agent and multi-robot systems.
I am currently working on training LLM agents for long-horizon tasks using reinforcement learning at Meta.
I obtained my PhD from the Prorok Lab at the University of Cambridge, were I studied heterogeneity in multi-agent and multi-robot systems and developed the VMAS simulator. For this research, I employed techniques from the fields of Multi-Agent Reinforcement Learning and Graph Neural Networks. During my PhD, I joined PyTorch at Meta, where I created BenchMARL and helped develop TorchRL.
For my master, I investigated the problem of transport network design for multi-agent routing.
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PhD in Computer Science, 2025
University of Cambridge
MPhil in Advanced Computer Science, 2021
University of Cambridge
BEng in Computer Engineering, 2020
Politecnico di Milano