Lorenzo is an Associate Professor in the Department of Computer Science at the University of Chicago. His research focuses on the design of algorithms to address fundamental computational challenges in machine learning and combinatorial optimization, combining ideas from both continuous and discrete optimization into a unified framework. He earned his PhD in Computer Science from UC Berkeley in 2011 and taught applied mathematics at MIT until 2015. He has received prestigious awards, including the SODA Best Paper Award in 2014 and the NSF CAREER Award in 2020. He has also been invited to serve on the program committee of major conferences such as FOCS, SODA, and NeurIPS.
At ELICSIR, he is a mentor for the Orthogonal School.
The ELICSIR Foundation was founded in October 2023 as an Italian non-profit “Ente del Terzo Settore (ETS)” and is registered with the Registro Unico Nazionale del Terzo Settore (RUNTS) as 04154681201.
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