Hi! I am Luca Zecchini, a research associate at the Technical University of Berlin (Germany), where I work with Prof. Ziawasch Abedjan. I completed my PhD program in 2024 at the University of Modena and Reggio Emilia (Italy), with Prof. Sonia Bergamaschi and Prof. Giovanni Simonini as advisors. During my PhD, I also spent two visiting periods at the Hasso Plattner Institute (HPI) in Potsdam (Germany), under the supervision of Prof. Felix Naumann.
My research is mainly focused on data integration, with a special interest in the tasks of entity resolution, data preparation, and dataset discovery. My main research outcomes so far are:
BrewER, an entity resolution framework to run clean queries on dirty datasets (research paper @ VLDB 2022, demo @ VLDB 2023);
RadlER, an entity resolution framework to produce clean samples of dirty datasets according to a target distribution (research paper @ VLDB 2025);
Sloth, a framework to determine the largest overlap between tables (research paper @ SIGMOD 2024).
Previously, I obtained my bachelor's and master's degrees in computer engineering at the University of Modena and Reggio Emilia in 2017 and 2020, respectively. I was the runner-up at the SIGMOD 2020 Programming Contest and I took part in the organization of the 2021 and 2022 editions.