Rocco Langone was born in Potenza, Italy, in 1983. He received the bachelor’s degree in physics and information technology, the master’s degree in physics with the thesis titled “A Neural Network Model for Studying the Attribution of Global Circulation Atmospheric Patterns on the Climate at a Local Scale”, and the second master’s degree in scientific computing with the thesis titled “Stochastic Volatility Models for European Calls Option Pricing” from the Sapienza University of Rome, Rome, Italy, in 2002, 2008, and 2010, respectively. He is currently a postdoctoral reaearcher in machine learning with the STADIUS Research Division, Department of Electrical Engineering, KU Leuven. He was a Researcher with the National Research Council, Rome, until 2008. His current research interests include kernel methods, neural networks, optimization, unsupervised learning (clustering and community detection), big data, climate, finance, and fault detection.