David Rebollo-Monedero

David Rebollo-Monedero


David Rebollo-Monedero is a visiting professor with the Department of Computer Engineering and Mathematics at Rovira i Virgili University (URV), in Tarragona, Spain, and a senior researcher in data privacy technologies in the CRISES Group, where he investigates the application of information theoretic and operational data compression formalisms to privacy in intelligent information systems.

Prior to joining URV, from 2018 to 2019, he was head of data privacy technologies at the start-up Mobile Payments & Loyalty, Ltd., where he was responsible for the design of an ambitious privacy-enhancing framework in Dinube, a modern digital payment system compliant with recent European regulations.

From 2008 to 2018, he served as senior researcher in data privacy technologies with the SISCOM and Information Security Research Groups, in the Department of Telematic Engineering at the Technical University of Catalonia (UPC), in Barcelona, Spain.

He received the M.S. as well as the Ph.D. degree in electrical engineering from Stanford University, in California, USA, in 2003 and 2007, respectively. His doctoral research at Stanford focused on data compression, specifically quantization and transforms for distributed source coding. He was also a teaching assistant for a number of graduate courses on signal processing and image compression.

Before undertaking his graduate studies in the USA, from 1997 to 2000, he was an information technology consultant for PricewaterhouseCoopers in Barcelona, and was involved in the Retevisión startup venture, as head of the system testing team. During the summer of 2003, still as a Ph.D. student at Stanford, he worked for Apple, Inc., with the QuickTime video codec team, in Cupertino, California.

Among other honors, he won the gold medal at the 1991 Spanish Physics Olympiad, he received the prestigious Spanish fellowship awarded by the “la Caixa” Foundation for graduate studies overseas, and he was awarded the competitive postdoctoral fellowships “Juan de la Cierva” and “R&D Projects for Young Researchers”, both by the Spanish government. He holds the full professor (advanced research) accreditation issued by the Catalan Agency for Quality Assurance in Higher Education (AQU).

His current research interests span data privacy, information theory, conventional and distributed data compression, machine learning, and convex optimization.