About Me
I am an Assistant Professor (RTT) at the Department of Information Engineering (DEI) of the University of Padova, and part of the AIDA Lab. In my research, I develop practical and theoretically sound algorithms for Data Mining and Computational Biology. I am mainly interested in designing scalable methods for extracting useful and interesting patterns from large datasets, and for efficiently analyzing large networks.
I am hiring postdocs interested in working on Algorithms for Heterogeneous Network Analysis, supported by my STARS Starting Grant project AtHeNA.
Contact me to know more!
Contact: leonardo.pellegrina [at] unipd.it
Recent News
- May 2026: Two papers accepted to KDD 2026! "Few-Shot Resampling for Scalable Statistically-Sound Data Mining", with Fabio Vandin, and "Sampling Random Graphs from the Colored Configuration Model".
- April 2026: I am visiting Prof. Matthijs van Leeuwen's group, at the Leiden Institute of Advanced Computer Science (LIACS) at Universiteit Leiden, supported by the Erasmus+ programme.
- February 2026: My project AtHeNA: Algorithms for Heterogeneous Network Analysis has been funded under the STARS@UniPD Starting Grant programme, supported by the University of Padova and Cariparo foundation. Two postdoc positions will be available, contact me to know more!
- February 2026: I will serve as an Area Chair for KDD 2026.