Francesco Gullo is a senior researcher and data scientist at the UniCredit financial group, specifically in the “AI, Data & Analytics ICT” department - “Applied Research and Innovation” unit of UniCredit Services S.C.p.A. Previously, he has been part of the “R&D” department of UniCredit S.p.A. for 5 years. He received his PhD, in “Computer and Systems Engineering”, from the University of Calabria, Italy, in 2010. During his PhD, he was an intern at the George Mason University, USA. After his graduation, he spent 1.5 years in the University of Calabria, Italy (as a postdoc), and 4 years in the Yahoo Labs, Spain (as a postdoc first, and as a research scientist then).
His research falls into the broad areas of artificial intelligence and data science, with special emphasis on algorithmic aspects, i.e., on formulating novel problems, theoretically characterizing them, and designing/analyzing algorithms for their solution. His recent interests include mining and learning on graphs, natural language processing, AI in finance, and (social) Web mining. He has been practicing both applied research (with a ~10-year work experience in industrial-research environments), and fundamental research (with ~80 publications in premier venues such as SIGMOD, VLDB, KDD, ICDM, CIKM, EDBT, WSDM, ECML-PKDD, SDM, TODS, TKDE, TKDD, MACH, DAMI, TNSE, JCSS, PR).
He has also been serving the scientific community, by, e.g., being Workshop Chair of ICDM’16, organizing workshops/symposia (MIDAS workshop @ECML-PKDD[‘16-‘21], MultiClust symposium @SDM’14, MultiClust workshop @KDD’13, 3Clust workshop @PAKDD’12), or being stably part of the program committee of major AI/data-science conferences (e.g., KDD, WWW, IJCAI, AAAI, CIKM, SIGIR, ICDM, WSDM, SDM, ECML-PKDD, ICWSM).
Please see here (curriculum vitae) for more details.