Thomas Tasioulis is a PhD student in Environment and Global Health research group in School of Public Health and a member of Pathways to Equitable Healthy Cities project, focusing on quantifying and measuring multidimensional urban environments. His research interests includes big data applications, clustering methods and predictive modelling.
Thomas holds a MSc in Environmental Protection and Sustainable Development from Aristotle University of Thessaloniki and a MSc in Data Science from Swansea University.
Before joining Imperial, he conducted research regarding pollen levels measurements and the impact on patient symptoms, while he had also investigated human activity recognition using Graph Neural Networks.
Bergmann, K.C., Buters, J., Karatzas, K., Tasioulis, T., Werchan, B., Werchan, M. and Pfaar, O., 2020. The development of birch pollen seasons over 30 years in Munich, Germany—An EAACI Task Force report. Allergy, 75(12), pp.3024-3026.