Leonardo Pellegrina
I am a Postdoctoral Researcher at the
Department of Information Engineering
of the University of Padova.
In my research I work on providing novel
efficient and statistically sound algorithms for knowledge and pattern discovery from data, often motivated by
biological applications.
I obtained my Ph.D. in Information Engineering from the
Department of Information Engineering
of the University of Padova,
under the supervision
of Prof. Fabio Vandin
(Vandin Lab website).
I also had the amazing opportunity of visiting the
Department of Computer Science of Brown University, as a Visiting Research Fellow under the supervision of Prof. Eli Upfal.
Links and contacts
Curriculum Vitae,
List of publications,
Google scholar,
Twitter,
GitHub page,
mail: leonardo.pellegrina@unipd.it.
News
- April 2022: An extended version of SPRISS, in collaboration with Matteo Comin, has been accepted to Bioinformatics!
- April 2022: An extended version of MCRapper has been accepted to ACM TKDD!
- September 2021: I will present our work SPRISS at RECOMB-Genetics!
- August 2021: I feel extremely happy to have received an honorable mention for the 2021 SIGKDD Dissertation Award!
- June 2021: A preprint of our work "SILVAN: Estimating Betweenness Centralities with Progressive Sampling and Non-uniform Rademacher Bounds" is available online.
- May 2021: We presented the second edition of our tutorial "Hypothesis Testing and Statistically-sound Pattern Mining" at SDM 2021.
- Mar. 2021: I successfully defended my Ph.D. thesis "Rigorous and Efficient Algorithms for Significant and Approximate Pattern Mining"!
All News