I am an assistant professor of computer science at Amherst College, where I lead the Data* Mammoths, a research&learning group of brilliant undergraduate students. 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 research is supported, in part, by NSF Award #2006765.
My Erdős number is 3 (Erdős → Suen → Upfal → 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).
News
- DMKD/DAMI (ECML PKDD'23): the Data* Mammoths published another paper: Maryam and Alex introduce ROhAN, a new set of null models for Statistically-sound KDD.
- SDM'23: my idea on Statistically-sound Knowledge Discovery from Data is accepted for the new Blue Sky track at SIAM SDM'23. See you in Minneapolis!
- ACM TIST: with Giulia and Gianmarco from CentAI, we published the journal version of our KDD'21 paper on approximately counting subgraphs.
- ECML PKDD'23: I'm the PhD Forum Chair, together with Illka Velaj. If you are a PhD student, please consider submitting a poster (when submission open in May).
- News archive