I am an associate professor of computer science at Amherst College, where I lead the Data* Mammoths, a research&learning group of brilliant undergraduate students, and I serve as the inaugural director of the Data Science Initiative. 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 CAREER Award #2238693 and 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
- SDM'25: I'm the general chair of the 2025 SIAM International Conference on Data Mining, together with Vagelis.
- PRE: A new impossiblity result about sampling from bipartite graph ensembles will appear in Physical Review E. It's joint work with Giulia and Gianmarco, and my first time publishing in a non-strictly-CS venue! Also, the result is pretty cool!
- DSI: I was appointed the inaugural director of the Data Science Initiative at Amherst College. I'm excited about, and looking forward to, the (large amount of) work ahead.
- Dagstuhl: With Eli and Aris, I'm organizing a 5-day workshop on Statistical and Probabilistic Methods in Algorithmic Data Analysis in Dagstuhl. So glad to go back to the beautiful Schlöss!
- KDD'24: Happy to help out the organization as a Co-chair of the PhD Consortium.
- News archive