Paola Mejia

Paola Mejia is a current researcher at the Swiss Federal Institute of Technology in Lausanne (EPFL), serving as primary contact for the Machine Learning for Education (ML4ED) research unit. Her work is centered in the School of Computer and Communication Sciences, where she advances AI applications in educational contexts through collaborative projects with international institutions.

Her research focuses on leveraging machine learning to enhance learning analytics, with expertise spanning adaptive educational systems, student modeling, and data-driven pedagogy. Key interests include developing intelligent tutoring systems and analyzing learner behavior patterns through computational methods, often in partnership with researchers like Tanja Käser from Monash University.

Mejia's scholarly contributions are supported by major funding bodies including the Australian Research Council and Swiss State Secretariat for Education, Research and Innovation. She actively publishes in top venues like the International Conference on Learning Analytics and Knowledge (LAK) and Artificial Intelligence in Education (AIED) series, with recent work emphasizing ethical AI implementation in diverse educational settings. Her research trajectory shows increasing focus on cross-cultural learning analytics and multimodal data integration.

As a core member of EPFL's digital education ecosystem, she contributes to the AVP-E-LEARN unit's mission of transforming pedagogical practices through technology. She maintains professional collaborations across institutions including Monash University and Berliner Hochschule für Technik, with all correspondence directed to paola.mejia@epfl.ch.