Short Bio
A third-person, one-paragraph bio for events:
Matteo Riondato is an assistant professor of computer science at Amherst College, and a visiting faculty at Brown University. Previously, he was a research scientist at Two Sigma, and a postdoc at Stanford. His research focuses on algorithms for knowledge discovery, data mining, and machine learning: he develops methods to analyze rich datasets, including graphs and time series, as fast as possible and in a statistically sound way. His research has been funded by the NSF. His works received best-of-conference awards at the 2014 SIAM International Conference on Data Mining (SDM), the 2016 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), the 2018 IEEE International Conference on Data Mining (ICDM), and the 2021 ACM International Conference on Web Search and Data Mining (WSDM). He tweets @teorionda and lives at http://matteo.rionda.to.
More information is available in my CV.