Gabriele Accarino is Contract Professor of High Performance Computing and Research Fellow at the Department of Engineering for Innovation at the University of Salento, Italy. His research activities mainly concern the design and development of cutting-edge Machine Learning-based modelling solutions to address the convergence between Machine Learning and Climate Science. He received the Master's Degree in Computer Engineering cum laude at the University of Salento, in 2018. Afterwards, he entered a Ph.D. program at the Department of Biological and Environmental Sciences and Technologies (DiSTeBA), exploring Machine Learning for application to the Climate Science domain. Since May 2018, he has been collaborating with the Advanced Scientific Computing (ASC) division and the Machine Learning group of the Euro-Mediterranean Center on Climate Change (CMCC) Foundation. Moreover, he has been involved in several European projects such as IS-ENES-3, eFlows4HPC and InterTwin. He is also author of several research papers, published in peer-reviewed international journals, leveraging Machine Learning approaches for climate science and epidemiological modelling.