I’m a PhD student in Machine Learning and Mathematical Optimization at the Technical University of Denmark (DTU). I work with Francisco C. Pereira, Dario Pacino and Filipe Rodrigues on applying pattern recognition, machine learning and optimization to understand and predict mobility behaviour within the Machine Learning for Smart Mobility group.
With my research, I am interested in addressing the following question: how can we build artificial agents capable of effective decision-making under uncertainty by abstracting meaningful representations from raw sensory data? In particular, I focus on machine learning for probabilistic inference, deep reinforcement learning, and deep generative models. As part of my PhD, I am interested in applying these concepts for future smart mobility solutions.
Before joining DTU, I graduated from the University of Rome “La Sapienza” with a MSc in Quantitative Methods for Decision Making within the Management Engineering Degree. Back in Rome I worked on my MSc thesis by applying machine learning and probabilistic models to health applications (in particular we worked on “Multiple Sclerosis course prediction”).
I also worked in the Operations Research Team of Amazon EU within Amazon Transportation Services where we applied Optimization and Machine Learning models for the planning of EU’s truck schedules.
I am excited about improving science towards a more human-level AI through machine learning. Feel free to get in touch for any intersting discussion ;-)