Before joining Yale as a postdoc and having obtained a Ph.D. at Princeton, I received a Master of Science in Statistical Mechanics and a Bachelor of Science in Physics from University of Padova, Italy, and I have been an exchange student at Imperial College London, UK.
Here is my Curriculum Vitae.
My research interests lie at the intersection of Applied Probability, Statistics, and Machine Learning. In particular, I am interested in the investigation of fundamental principles to perform scalable inference, learning, and optimization in high-dimensional models, and in the design and analysis of algorithms in Statistical Machine Learning, with applications to graphical models and Monte Carlo methods.
Since Spring 2015 I have been supervising a group of senior students on research projects in Machine Learning, investigating the development of algorithms for natural language processing, sparse regression, and distributed optimization.
I am a member of the Yale Postdoctoral Association, with the goal to facilitate and promote teaching experiences for postdocs in the sciences. Following the success of last year, on May 15 2016 we are organizing the second Julia Robinson Mathematics Festival at Yale, a celebration of great ideas and problems in mathematics that enables junior high and high school students to explore fun math in a noncompetitive setting.
While I was in Princeton I repeatedly served as teaching assistant for ORF 309 (Probability and Stochastic Systems) taught by Prof. Erhan Çınlar. ORF 309 is considered one of the most challenging classes offered at Princeton University, and it is taken by approximately 150 students, 80% of which are undergraduate. In fall 2012 I was appointed head teaching assistant for the class and I received the 2013's Excellence in Teaching Award from the Princeton Engineering Council.
I am also a fellow of the McGraw Center for Teaching and Learning at Princeton University.