Gabriele Spina is a highly skilled and experienced data scientist with expertise in advanced analytics and predictive modeling. Graduated with a bachelor's degree in Biomedical Engineering and a master's degree in Robotics and Bio-microsystem, cum laude from Università Campus Bio-Medico di Roma, Gabriele went on to earn his Doctor of Philosophy (Ph.D.) in Electrical and Electronics Engineering from Eindhoven University of Technology.

Gabriele's professional experience includes working as a Data Scientist at HumanTotalCare and formerly at Philips. During his time at Philips, he also served as a Ph.D. student, conducting research in the field of intelligent systems and visual perception and novelty detection. He also worked as an assistant researcher at Frankfurt Institute for Advanced Studies and as an intern at Italian Institute of Technology.

Gabriele has an impressive educational background, having studied at various institutions, including iCareNet Winter School on Context Inference and Ethics in Switzerland, Cognitive Neuromorphic Engineering Workshop in Italy, and TECHNISHE UNIVERSTITAT ILMENAU in Germany.

Gabriele's expertise includes regression, classification, clustering, and time series analysis, and he is skilled in understanding business needs, analyzing user problems, and devising creative solutions. His interests include intrinsic motivation, abstract representation of sensorimotor data, and hierarchical architectures.