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Lorenzo De Stefani Has Been Promoted To Associate Teaching Professor

    A photo of Lorenzo De Stefani smiling
    Click the links that follow for more news about Lorenzo De Stefani and other recent accomplishments by our faculty.

    Brown CS is happy to announce that with the anticipated approval of Brown’s Corporation and effective as of July 1, 2026, Lorenzo De Stefani has been promoted to Associate Teaching Professor.

    Lorenzo joined the Brown CS faculty in 2020 after completing his PhD under the supervision of Brown CS faculty member Eli Upfal. His first doctorate, in Computer Engineering, was from the University of Padova, where he was advised by Professor Gianfranco Bilardi. He also holds a Master of Science in Computer Engineering (advised by Professor Gianfranco Bilardi) and a Bachelor of Science in Computer Engineering (advised by Professor Giorgio Maria Di Nunzio) from the same institution.

    Lorenzo’s research focuses on statistical learning and algorithms for knowledge discovery from big data with probabilistic guarantees. His recent work on design and analysis of algorithms includes lower bounds on the Input/Output (I/O) complexity of sequential and parallel algorithms, computation and communication-optimal parallel algorithms, time-space and time-I/O tradeoffs, and algorithms that are resilient to Byzantine memory faults. His recent work in Big Data analysis and sampling includes analysis of large and fully dynamic graphs, multiple hypothesis testing in Big Data, and learning from user preferences.

    Lorenzo’s teaching has included CSCI 0500 Data Structures, Algorithms, and Intractability: An Introduction, CSCI 1010 Theory of Computation, CSCI 1420 Machine Learning, CSCI 1570 Design and Analysis of Algorithms, and CSCI 1951-A Data Science. He’s given invited talks at the New York Academy of Science, Boston University, and the Bertinoro Center for Informatics, and his service to the scientific community includes serving as Web Co-Chair for the Workshop on Scalable Approaches to High Performance and High Productivity Computing (ScalPerf) and serving on the Program Committee for the ACM International Conference on Web Search and Data Mining (WSDM) and the IEEE International Conference on Data Science and Advanced Analytics (DSAA).

    For more information, click the link that follows to contact Brown CS Communications Manager Jesse C. Polhemus.