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Mohamed Hibat-Allah is an Assistant Professor at the University of Waterloo in the Department of Applied Mathematics. He is a graduate of the University of Waterloo and the Vector Institute for Artificial Intelligence. His research interests merge the fields of natural language processing and many-body physics. Specifically, he explores the potential of language models to describe the behavior of quantum many-body systems, which include materials and molecules. His work aims to advance the foundational technologies for the future by combining concepts from natural language processing with quantum physics and statistical physics. He is particularly interested in developing machine learning-based solutions for combinatorial optimization problems, which have applications across various scientific and industrial sectors. Additionally, he investigates variational and quantum-inspired algorithms that could enhance the current methodologies used in tackling complex optimization challenges.
Includes fields like Clinical, Cognitive, Developmental, and Industrial/Organizational Psychology.