Leonardo Pellegrina
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.
Previously, I was a PostDoc and Ph.D. student at the University of Padova,
under the supervision
of Prof. Fabio Vandin.
I also was a Visiting Research Fellow at the
Department of Computer Science of Brown University, under the supervision of Prof. Eli Upfal.
Links and contacts
Curriculum Vitae,
Publications,
Google Scholar,
Twitter,
GitHub,
mail: leonardo.pellegrina *at* unipd.it
News
- March 2025: I started a new position as Tenure-track Assistant Professor (RTT) at UniPD!
- November 2024: I received a Teaching Award of Merit from the University of Padova.
- November 2024: I gave a (virtual) talk at Rutgers Business School. Thanks to Shahrzad for inviting me!
- June 2024: Sijing Tu is visiting our group!
- May 2024: Our paper "Scalable Rule Lists Learning with Sampling" has been accepted to KDD 2024!
- May 2024: Our paper "Efficient Discovery of Significant Patterns with Few-Shot Resampling" has been accepted to VLDB 2024!
- October 2023: Our paper "SILVAN: Estimating Betweenness Centralities with Progressive Sampling and Non-uniform Rademacher Bounds" has been accepted to ACM TKDD!
- August 2023: I will join ScalPerf 2023 in Bertinoro to talk about our recent "Statistical learning techniques to efficiently identify central nodes from large graphs".
All News