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Aloni Cohen is an Assistant Professor in the Department of Computer Science at the University of Chicago. His research focuses on understanding and defending against emerging threats in an increasingly computational world. His academic work delves into the theoretical and mathematical foundations of computation, algorithm design, and complexity theory, particularly in the context of cybersecurity. Cohen has received several accolades for his contributions to the field, including the Outstanding Paper Award at the International Conference on Algorithmic Learning Theory in 2024 and the Distinguished Paper Award at the USENIX Security Symposium in 2022. He has also been recognized as a keynote speaker at the UCLA Synthetic Data Workshop in 2023 and has been awarded the NSF Graduate Student Research Fellowship in 2014. Cohen's work is characterized by its rigorous approach to theoretical foundations and its practical implications for technology law and policy, reflecting his commitment to advancing knowledge in the intersection of data science and security.
Department of Computer Science, University of Chicago • Chicago, IL
Teaching and conducting research in computer science with a focus on cybersecurity, algorithm design, and complexity.
Department of Philosophy