Alfredo Torrico is a postdoctoral fellow under Professor Andrea Lodi (CERC in Data Science) and Professor Margarida Carvalho (Université de Montréal). In 2019, he completed his PhD in Operations Research under Professors Mohit Singh, Sebastian Pokutta and Alejandro Toriello at the Georgia Institute of Technology. His research has mainly focused on fundamental problems at the intersection of combinatorial optimization and operations research. In particular, he has contributed novel approaches to questions in the broad areas of resource allocation and subset selection. During his PhD, he worked on the polyhedral aspects of the online bipartite matching problem, on provable guarantees for robust subset selection and on providing an alternative theoretical explanation for the empirical performance of the greedy algorithm in submodular optimization. Currently, at the CERC in Data Science, he has been studying: (1) the role of assortment optimization on reducing the frictions among agents’ choices in matching markets and (2) the capacity expansion in the school admission problem and its implications in terms of fairness and efficiency.