About me

I am a data scientist and research associate in the group of Signal Processing in the Department of Electrical Engineering and electronics at University of Liverpool (UK).
I am involved in a many projects regarding:

multi-domain data and sensor fusion (tracking, Bayesian information fusion);
AI for decision making (e.g. Gaussian processes and Bayesian optimisation, Reinforcement Learning for cybersecurity);
Natural language processing (NLP);
Software development;

I am an active contributor to Stone Soup development.

News section

August 2026 : a new section in the site now includes talks and tutorials, like the BoTorch tutorial!
July 2026 : the paper Changing the Past to Improve the Future: Fixed-Lag Particle Filtering with NUTS Proposal in Stone Soup has been presented at IEEE Fusion 2026 and the code repository is live on Github!
March 2026: the paper A Survey for Deep Reinforcement Learning Based Network Intrusion Detection have been published on Applied AI letters!
August 2025: The paper Accounting for the impact of real-world data and costs in autonomous cyber defence has won the best paper award at IEEE CSR 2025 !