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 (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
- Teaching: in my first semester at Amherst College, I'm teaching Data Mining and Intro to CS 1. Thrilled to be working closely with brilliant students again.
- KAIS: an extended version of ProSecCo: Progressive Sequence Mining with Convergence Guarantees was invited to the special issue of KAIS for the best papers of IEEE ICDM'18.
- PCs and editorial board: glad to serve on the PC for ICML'19, ACM KDD'19, NetSci'19, and IJCAI'19, and on the guest editorial board of the Data Mining and Knowledge Discovery journal for ECML PKDD'19.
- ACM TKDD: an extended version of MiSoSouP was invited to the special issue of ACM TKDD for the best papers of KDD'18.
- SDM'19: I'm serving as co-chair of the Doctoral Forum for SIAM SDM'19. Very excited to help with the organization, as I won the best student poster award at this event in 2014.
- News archive