I'm a PhD student in Computer Science at GSSI, in L'Aquila. Advised by Pierluigi Crescenzi and Fosca Giannotti, I'm doing research on Conversational Explainable AI, leveraging Large Language Model capabilities to develop an interactive user-centered tool. I'm also an external collaborator of the CRAb research group in Brazil and the co-advisor of three graduate students on works with Deep Reinforcement Learning.

Interests

My current Deep Reinforcement Learning interests include multi-agent cooperation and competition, emulation of human play styles in Non-Player Characters, and interpretability of autonomous agents. Other research interests include Neural Network Optimization, Computer Vision, and Scientific Machine Learning.

I'm also interested in high-performance code, Data-Oriented Design, game development, and playing with Assembly.

Work Experience

I worked as a Research Engineer in the COATI Project-Team on projects of Neural Network Optimization, under the supervision of CNRS researcher Emanuele Natale @Inria. In collaboration with Pierluigi Crescenzi and Emanuele Natale, I was the main programmer of WorldDynamics.jl, an open-source framework for world dynamics modeling and simulation. Previously, I worked with Data Science, Computer Vision for human segmentation, Optical Character Recognition, and Computational Geometry applied to 3D printing @Instituto Atlântico. Before, I worked with Digital Image Processing for Biometrics and fingerprint segmentation with Deep Neural Networks @GREat.

Education

I received a Master's degree in Computer Science in 2018 from the Federal University of Ceara (UFC) in Brazil, under the supervision of Prof. Joaquim Bento, and a Magna Cum Laude Bachelor's degree in Computer Science in 2015, also from UFC.

You can find my full CV here.