Alvaro Becerra received his dual bachelor's degree in Computer Science and Mathematics in 2023 from Universidad Autónoma de Madrid (UAM), and his M.Sc. degree in Data Science in 2024 from the same institution. He is currently pursuing his PhD in the Department of Computer Engineering at UAM, where he is a member of the Group for Advanced Interactive Tools (GHIA) and has been closely collaborating with the BiometricsAI Group.

His research focuses on enhancing teaching and learning processes in both online and face-to-face contexts through the integration of Multimodal Learning Analytics (MMLA), Artificial Intelligence (AI), and Generative AI. He investigates how biometric, contextual, and interaction data can be combined to develop scalable and interpretable learning indicators related to attention, engagement, performance, and communication skills. By leveraging machine learning models and Large Language Models (LLMs) as an interpretative layer, his work aims to transform complex multimodal analytics into personalized, context-aware, and actionable feedback for students and teachers, supporting self-regulated learning and formative assessment practices.

He has received the second prize award for Best Final Degree Project in the 9th edition of the AIPO Association's awards, as well as the first prize award for Best Final Master Project in the 10th edition of the same competition.

His main research interests include MMLA, MOOCs, e-learning, machine learning, biometric behavior analysis, online and in-person monitoring, feedback, and sensors.