About me

🔍 Passionate about data-driven methodologies, I'm dedicated to explore how to learn from raw data. I believe that if humans can learn from real-world examples so can computers.
🔬 Recently, I started as a R&T Scientist at LIST, where I'm investigating low-modeling. This field aims to automate the creation of software engineering models, speeding-up the modeling process.
🎓 In my doctoral journey at the University of Luxembourg, I investigated the usage of Deep Learning models within Online Learning pipelines. This PhD resulted in the creation of TensAIR—an innovative system capable of training Artificial Neural Network models in real-time using data streams. This project involved technical and theoretical exploration, including non-convex optimization, asynchronous and decentralized computing, statistics, and visualization techniques.
🎓 During my Master's studies at UNICAMP, I focused on Complex Networks, NLP, and Knowledge Graphs. Notably, I developed ScikGraph, an application empowering researchers to unravel scientific fields through intuitive Knowledge Graph visualizations. With ScikGraph, users can automatically construct comprehensive knowledge graphs and track the evolution of scientific domains over time.