His research is centered on techniques for scalable and accurate inference in graphical models, statistical modeling of data, large-scale combinatorial optimization, and robust decision making under uncertainty, and is motivated by a range of applications, in particular ones in the emerging field of computational sustainability. He has won several awards, including four Best Paper Awards (AAAI, UAI and CP), a NSF Career Award, a Sony Faculty Innovation Award, and a McMullen Fellowship. Stefano earned his Bachelor’s and Master degree in Electrical and Electronics Engineering at University of Padova in 2006 and 2008, respectively. He earned his Ph.D. in Computer Science at Cornell University in 2015.