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Hongyang Zhang is an Assistant Professor at the University of Waterloo, leading the SafeAI Lab. He is known for his research in machine learning, with a focus on inference acceleration, AI security, and developing world models for real-world applications, particularly in robotics and self-driving cars. He completed his Ph.D. in Machine Learning at Carnegie Mellon University in 2019, where he was co-advised by Maria-Florina Balcan and David P. Woodruff. Before joining Waterloo, he was a postdoctoral fellow at the Toyota Technological Institute at Chicago, collaborating with Avrim Blum and Greg Shakhnarovich. Beyond his academic roles, he has contributed to notable awards and recognitions, including the Google Research Scholar Award and the Top Area Chairs Award at NeurIPS. His work is characterized by a commitment to advancing theoretical foundations and practical methodologies in machine learning, impacting deployment costs and operational efficiency for AI systems.
University of Waterloo • Waterloo, ON, Canada
Leading the SafeAI Lab, focusing on advancing machine learning methodologies.
Toyota Technological Institute at Chicago • Chicago, IL, USA
Conducted research in machine learning under the guidance of Avrim Blum and Greg Shakhnarovich.
Includes fields like Clinical, Cognitive, Developmental, and Industrial/Organizational Psychology.