ML Specialist
2025 – Present
Fondazione Gran Sasso Tech · L’Aquila, Italy
- Leading development of machine learning systems for applied research and real-world deployments.
- Focus areas: recommender systems, anomaly detection, scalable model design, and explainable AI.
- Contributing to the Foundation’s expansion into Earth Observation, exploring ML applications for satellite data.
Adjunct Lecturer (Contract)
Mar – Apr 2026
Luiss Business School · Rome, Italy
- Delivered a 14-hour course on AI and Machine Learning for Business Applications.
- Topics included recommender systems, anomaly detection, and AI governance, with a focus on business decision-making.
Research Intern
2023 – 2024
NEC Laboratories Europe · Heidelberg, Germany
- Worked with the Human-Centric AI and Biological AI groups.
- Researched explainable AI techniques for graph neural networks in biomedical applications.
Lecturer
2017 – 2020
University of Havana · Havana, Cuba
- Lecturer in Information Retrieval and Database Systems.
- Conducted research on ML techniques for information retrieval and anomaly detection in complex networks.
- Developed algorithms for influence detection on Twitter.
Guest Researcher
Sep – Dec 2018
University of L’Aquila · L’Aquila, Italy
- Department of Engineering and Information Science and Mathematics.
- Applied data analysis and machine learning to predict topic popularity in massive news datasets.
Researcher
2013 – 2017
Advanced Technologies Application Center · Havana, Cuba
- Researched machine-learning techniques for anomaly detection in social networks and bank transactions.
- Developed a C++ framework to detect anomalies in bank transactions.
Guest Researcher
Oct – Dec 2016
Delft University of Technology · Delft, Netherlands
- Cyber Security Group.
- Developed an algorithm for discovering potential money laundering in the Bitcoin network using anomaly detection.