Dr. Alessandro Betti received the M.S. degree in physics and the Ph.D. degree in electronics engineering from the University of Pisa, Italy, in 2007 and 2011, respectively. His main field of research was modeling of noise and transport in quasi-one dimensional devices. His work has been published in more than 25 papers published in peer-reviewed journals in the field of solid state electronics and condensed matter physics and in conference papers, presenting for 3 straight years his research at the top IEEE International Conference in electron devices IEDM in USA. From February 2021 he works as a senior data scientist and R&D Manager at the company FlySight srl (Flyby Group) with main interest in the application of Deep Learning methods in energy, defense and health sectors. He has also a many year experience in developing power generation forecasting, nowcasting and predictive maintenance models based on Machine Learning algorithms, achieved in his previous experience at the company i-EM srl (Flyby Group).