Giorgia Fortuna completed her PhD in mathematics at MIT in May 2013. She worked on infinite-dimensional Lie algebras and, more generally, in geometric representation theory. She attended the 2014 Wolfram Summer School and joined Wolfram Research afterward. She now works on the Machine Learning and Deep Learning team. She is implementing functions for unsupervised machine learning, focusing on estimating distributions, fitting data and generating models aiming to describe unlabeled datasets. She is interested in statistics, probability and pure math. She is a faculty member of Wolfram Summer School.
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