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Niv Dayan is an Assistant Professor at the University of Toronto, specializing in the fields of Databases and Data Structures. His work focuses on designing and implementing data structures that are informed by the laws of physics, adapting to modern hardware and new application domains such as cryptography, machine learning, and virtual reality. He emphasizes collaboration with industry partners, particularly startups, to ensure that his research remains relevant and beneficial for real-world users. His academic background includes a Ph.D. in Computer Science from the University of Copenhagen, where he also completed his Master's degree in Software Development. Dayan's contributions to the field have been recognized through various publications, with his research often highlighting fast algorithms and innovative data structures.
University of Toronto • Toronto, ON, Canada
Currently serving as an Assistant Professor in the Department of Computer Science, focusing on database technologies.
Copenhagen University • Copenhagen, Denmark
Conducted cutting-edge research in database systems.
Pliops •
Worked on data management solutions and innovations.
Harvard • Cambridge, MA, USA
Engaged in research and collaboration in computer science.
Department of Sociology