Email: mohamed.hibat.allah@uwaterloo.ca
Office: MC 6423
Mohamed Hibat-Allah is an assistant professor at the University of Waterloo, Department of Applied Mathematics. Before joining UWaterloo, he was a Perimeter Scholars International (PSI) fellow at Perimeter Institute for Theoretical Physics. He also graduated from the University of Waterloo and the Vector Institute for Artificial Intelligence.
His research interests lie at the intersection of natural language processing and many-body physics. In particular, he is interested in exploring the promising potential of language models in describing the behavior of quantum many-body systems, such as materials and molecules, to help advance the building blocks of future technologies. He is also interested in combining ideas at the intersection of natural language processing, quantum physics, and statistical physics to improve the current solutions to challenging combinatorial optimization problems that are applicable to a wide range of areas of science and industry sectors.
Research interests:
- Language modeling of quantum systems.
- Machine learning based solutions for combinatorial optimization problems.
- Natural language processing.
- Variational algorithms.
- Quantum-inspired algorithms.