The Speakers

Aristides Gionis is a professor in the department of Computer Science at KTH Royal Institute of Technology in Stockholm, Sweden. He is currently a fellow in the ISI foundation, Turin, while he has been a visiting professor in the University of Rome. His previous appointment was with Yahoo! Research, Barcelona, where he has been a senior research scientist and group leader. He obtained his PhD in 2003 from Stanford University, USA. He is currently serving as an action editor in the Data Management and Knowledge Discovery journal (DMKD), an associate editor in the ACM Transactions on Knowledge Discovery from Data (TKDD), and an associate editor in the ACM Transactions on the Web (TWEB). He has con- tributed in several areas of data science, such as algorithmic data analysis, web mining, social-media analysis, data clustering, and privacy-preserving data mining. His current research is funded by the Academy of Finland (projects Nestor, Agra, AIDA, and MLDB) and by the European Commission with an ERC Advanced grant (REBOUND) and projects SoBigData and SoBigData++. Aristides Gionis has presented several tutorials on graph mining and web mining in conferences such as the Web Conference (2008, 2018 and 2020), KDD (2013, 2015, 2018, and 2019), ECML PKDD (2008, 2013, and 2015), IJCAI (2011), as well as in many summer schools, includ- ing the Data Science Summer School 2019 and the EDBT Summer School 2019.

Bruno Ordozgoiti is a Lecturer in the School of EECS at Queen Mary University of London. Previously, he was a postdoctoral researcher for the Data Mining Group at the department of Computer Science in Aalto University. He earned a PhD in Computer Science from Universidad Politécnica de Madrid, Spain, in 2018. His research interests cover graph theory, graph mining and approximate matrix decompositions. His recent work covers polarized community detection in signed networks and algorithmic methods to tackle polarization in social media.