Victor Zhong is an Assistant Professor in the David R. Cheriton School of Computer Science at the University of Waterloo, and a Canada CIFAR AI Chair at the Vector Institute. His research is on efficient machine learning methods that interpret language to generalize to new problems. His group, the Reading to Learn Lab, works on grounded language agents that interpret complex data, adaptive curriculum learning, and learning from language feedback. Victor received a PhD in Computer Science from the University of Washington, a Master’s in Computer Science from Stanford University, and a Bachelor’s in Computer Engineering from the University of Toronto.