Matteo Riondato

Contact info

Head shot of Matteo
					Riondato by Andrea Podestà

I am an assistant professor of computer science at Amherst College. I also have an appointment as visiting faculty in Computer Science at Brown University. Previously, I spent some fantastic years as a research scientist in the Labs group at Two Sigma.

My research focuses on algorithms for knowledge discovery, data mining, and machine learning. I develop theory and methods to extract the most information from large datasets, as fast as possible and in a statistically sound way. The problems I study include pattern extraction, graph mining, and time series analysis. My algorithms often use concepts from statistical learning theory and sampling.

My Erdős number is 3 (ErdősSuenUpfal → Matteo), and I am a mathematical descendant of Eli Upfal, Eli Shamir (2nd generation), Jacques Hadamard (5th), Siméon Denis Poisson (9th), and Pierre-Simon Laplace (10th).


  • SDM'21: I will be the Tutorial Chair and a member of the Senior PC for SIAM SDM'21. Always glad to be of service to the knowledge discovery, data mining, and statistics communities.
  • KDD'20: MCRapper, our work on computing the Monte Carlo Empirical Rademacher Average on poset families for approximate pattern mining has been accepted as a full paper in the research track. Join work with the statistics-datamining gang: Leonardo Pellegrina, Cyrus Cousins, and Fabio Vandin.
  • TKDD: The extended version of MiSoSouP, our algorithm for mining interesting subgroups through sampling with pseudodimension has been accepted to the TKDD special issue for the best papers of KDD'18. Joint work with great colleague Fabio Vandin.
  • DMKD: Very honored to become a member of the editorial board of Data Mining and Knowledge Discovery journal, one of the top venues in my area of research.
  • News archive