Francesco Gullo is a senior researcher and data scientist at the UniCredit banking group, specifically in the “Applied Research & Innovation” unit of the “AI, Data & Analytics ICT” department (UniCredit Services controlled company). Previously, he has been part of the “Research & Development” department (UniCredit holding company) 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. His recent interests include graph mining and learning, natural language processing, and AI in finance. 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., SIGMOD, KDD, WWW, IJCAI, AAAI, CIKM, SIGIR, ICDM, WSDM, SDM, ECML-PKDD, ICWSM).
Please see here (curriculum vitae) for more details.