Gaia Assunta Bertolino
Gaia Assunta Bertolino
Gaia is a Ph.D. candidate at the University of Cambridge and a researcher within the ANT MSCA Doctoral Network. Her research focuses on the development of efficient, uncertainty-aware AI systems for longitudinal health data analysis on resource-constrained devices, with the aim of enabling reliable, adaptive, and privacy-preserving healthcare technologies. Her doctoral research is supervised by Prof. C. Mascolo (University of Cambridge), Prof. Q. Wang (TU Delft), and Dr. M. Petković (Philips).
She holds both a Bachelor’s and a Master’s degree in Computer Engineering from the University of Calabria (Italy). During her undergraduate studies, she developed a solid foundation in systems design, automation, control, and hardware, and completed an internship in Luxembourg focused on API development for IoT applications. During her Master’s studies, she specialised in Artificial Intelligence and Machine Learning, further strengthening her expertise in AI, machine learning, optimisation, and ethics and completed a research internship at the University of Cambridge, where she worked on respiratory-audio-based health assessment.
Her broader research interests lie at the intersection of machine learning, embedded and on-device intelligence, multimodal systems, and digital health technologies, with the objective of developing reliable, impactful, and human-centered solutions. Her work is driven by scientific curiosity, rigor, and a strong commitment to advancing intelligent systems for real-world applications and improving everyday health monitoring.