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Eldan Cohen is an Assistant Professor in the Department of Mechanical & Industrial Engineering. His research interests focus on machine deep learning, heuristic search optimization, and scalable data mining, with an emphasis on interpretable human-compatible approaches. In recent years, he has worked on applications in healthcare, automated planning, natural language processing, and software engineering. Before joining the Mechanical & Industrial Engineering department, he was a postdoctoral fellow in the Department of Computer Science at the University of Toronto and at the Vector Institute for Artificial Intelligence. He earned his Ph.D. in the Department of Mechanical & Industrial Engineering at the University of Toronto, where he developed heuristic search algorithms for automated planning and neural sequence decoding. He also worked as a research intern at Fujitsu Laboratories America, developing unsupervised machine learning algorithms specialized for optimization hardware.
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