I am a researcher in computer science, currently with the Labs group at Two Sigma, a highly innovative investment firm in New York City. I also have an appointment as Visiting Assistant Professor of Computer Science at Brown University.
My research interest is in algorithmic data analysis. 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).
- ACM CIKM'16: I joined the Program Committee of ACM CIKM'16.
- GHC'16: I'm so very excited to be part of the PC for the Data Science track at Grace Hopper 2016, the celebration of women in computing.
- SINS'16: I'm giving a talk at SINS'16, a workshop on Social Impact through Network Science. It takes place in Venice, in June. Looking forward to meeting many people there!
- ECML PKDD'16: I am a member of the Program Committee. This year the conference will be in beautiful Riva del Garda, on Lake Garda, Italy, very close to my hometown Padua!
- arXiv: Two new works on the arXiv, one on approximate counting triangles from streams (joint work with Alessandro Epasto, Lorenzo De Stefani, and Eli Upfal), and one on fully-dynamic betweenness centrality approximation (joint work with Eli Upfal). Sampling rules everything around me, and these two papers show it.
- DAMI/DMKD: Our paper Graph Summarization with Quality Guarantees (joint work with David García-Soriano and Francesco Bonchi) was accepted for publication. Geometric clustering and extremal graph theory get together, and the chemistry is great!
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