About me

I am currently a Research Associate at the Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg, where I work on data management and predictive maintenance in the context of Industry 4.0.

Previously, I was a Senior Backend Developer at Accern in New York, developing NLP models, taxonomies, and knowledge graphs. Before that, I was a Postdoctoral Research Associate at New York University’s Center for Responsible AI, where I researched the inclusion of fairness metrics for AutoML systems and enhanced artifacts from the DARPA D3M program. I completed my Ph.D. in Computer Science at NYU Tandon School of Engineering, where I was part of the Visualization, Imaging, and Data Analysis (VIDA) lab led by Prof. Juliana Freire. I also hold an M.S. in Information Engineering from the Federal University of ABC (UFABC) and a B.S. in Computer Science from the Federal University of Amazonas (UFAM), Brazil. My research lies at the intersection of data management, artificial intelligence, and software systems, with a focus on:

• Ethical and responsible AI
• Debugging of machine learning pipelines
• Data debugging and provenance
• Automated Machine Learning (AutoML)
• Explainable AI and trustworthy decision support
• Industry 4.0 and predictive maintenance

In parallel with my academic career, I have over a decade of experience as a software engineer in R&D environments, where I worked on building real-world systems across domains such as embedded systems, smart TV technologies, and large-scale data platforms. This combined academic and industrial background shapes my approach to research: I aim to design systems that are both theoretically grounded and practically impactful.