I am a Machine Learning Engineer with a strong background in Artificial Intelligence, specializing in Deep Learning, Optimization and Agent-based Modeling. From September to December 2023, I was a research assistant at the COALESCE Lab, and I maintain affiliated to it. I have obtained my PhD in Computer Science at the University of Verona in 2023. My research topics revolved around the integration of Machine Learning in classical Combinatorial Optimization approaches, focusing on those involving the formation of small collectives of agents: ridesharing in autonomous cities, formation of teams in the classroom or task assignment in multi-agent pickup and delivery problems. Previously, I graduated in Physics, and I hold a Master's degree in Modelling for Science and Engineering, both at the Universitat Autònoma de Barcelona (UAB).
Currently, I am a data scientist at Dribia Data Research, a development studio of tailored AI solutions based in Barcelona, and I have previously worked as an AI engineer at MeteoSim. I am interested in the use of mathematical tools to study society, both from a modelling and an analytical point of view. Moreover, I enjoy learning about new fields, always bringing my mathematical perspective to understand, formalize and propose solutions to emerging problems.
