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. 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
- Tenure+Promotion: Since July 1, I am a tenured associate professor of computer science! I'm over the moon about this!
- NSF CAREER: I received a $600k NSF CAREER award to work on Statistically-sound Knowledge Discovery from Data (my SDM'23 blue-sky-idea paper has more details about what I plan to do). I am extremely thankful for the trust from the community and NSF, and excited for 5 years of work ahead!
- 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!
- News archive