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Aloni Cohen is an Assistant Professor in the Department of Computer Science and Data Science at the University of Chicago. His research focuses on understanding and defending against emerging threats in our increasingly computational world, including the mathematical foundations of computation, algorithm design, and complexity logic. His work has been recognized with several awards, including the Outstanding Paper Award at the International Conference on Algorithmic Learning Theory and the Distinguished Paper Award at the USENIX Security Symposium. Cohen has also contributed to discussions on ethical data usage as a keynote speaker at workshops and conferences. In 2022, he co-led a major NSF institute aimed at developing foundational frameworks for data science, highlighting his commitment to advancing the field through both theoretical and practical applications. As a researcher, Cohen aims to address critical issues related to information security and to enhance our understanding of data protection in modern computational contexts.
University of Chicago • Chicago, IL
Teaching and conducting research in the fields of computer science and data science.
Department of Philosophy