Meet Victor Zhong, a computer scientist who seeks to make machine learning more general and efficient through natural language understanding
Victor Zhong joined the Cheriton School of Computer Science as a tenure-track Assistant Professor in August 2024. He also serves as a CIFAR AI Chair and faculty member at the Vector Institute.
His research is at the intersection of machine learning and natural language processing, with an emphasis on using language understanding to learn more generally and efficiently. His research covers a range of topics, including dialogue, code generation, question answering, and grounded reinforcement learning.