David García-Soriano
David García-Soriano is a Senior Research Scientist at the Institute for Scientific Interchange (ISI) in Turin, in the "Algorithmic Data Analytics" group. Previously, he received his Ph.D. in Computer Science (2012) from the University of Amsterdam and his undergraduate de grees in Computer Science (2007) and Mathematics (2009) from the Complutense University of Madrid. He has been a member of the Algorithms and Complexity group at CWI Amsterdam (the Dutch National Research Center for...See more
David García-Soriano is a Senior Research Scientist at the Institute for Scientific Interchange (ISI) in Turin, in the "Algorithmic Data Analytics" group. Previously, he received his Ph.D. in Computer Science (2012) from the University of Amsterdam and his undergraduate de grees in Computer Science (2007) and Mathematics (2009) from the Complutense University of Madrid. He has been a member of the Algorithms and Complexity group at CWI Amsterdam (the Dutch National Research Center for Mathematics and Computer Science), and a research visitor at the Israel Institute of Technology in Haifa (Technion). Later, he was a post doctoral researcher at Yahoo Labs Barcelona and a Lecturer in Computer Science at Pompeu Fabra University. He has also worked for industry as a software engineer at Google, CERN (the European Organization for Nuclear Research), and Tuenti. In recent years, he has been devel oping machine-learning and optimization-based solutions to financial portfolio management problems, in collaboration with Intesa San Paolo banking group. His research focuses on the theory and practice of large-scale data mining and machine learning, with an emphasis on computational efficiency and provable quality guarantees; topics include algorithmic theory, combinatorial optimization, scalable machine learning, data mining, algorithmic fairness, social network analysis, data streams, and portfolio optimization. His re search findings have been published in top-tier conferences (SODA, KDD, SIGMOD, ICALP, CCC, ICDM, WWW, ICDE, RANDOM, ECML/PKDD, SDM, ...) and journals (SIAM Journal on Computing, Combinatorica, Data Mining and Knowledge Discovery, ...). See less