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Wenhu Chen is an assistant professor at the University of Waterloo, currently on leave. He was awarded the Canada CIFAR AI Chair in 2022 and has a notable background with Google DeepMind, where he contributed to multimodal evaluation efforts. Chen obtained his PhD from the University of California, Santa Barbara, specializing in Computer Science. His research interests encompass natural language processing, deep learning, and multimodal learning, focusing on designing models for complex reasoning scenarios and math problem-solving. He is dedicated to developing robust multimodal models that bridge various modalities and has published extensively in these areas. Some of his prominent contributions include advancements in reasoning models and frameworks for generative tasks in AI. Chen's lab, known as TIGER, is centered on generative models across text, image, video, and music domains, fostering ambitious projects and mentorship for motivated students. He has received several accolades, including the Golden Jubilee Research Excellence Award from the University of Waterloo in 2025 and has been recognized for outstanding papers in various conferences.
University of Waterloo • Waterloo, ON, Canada
Currently on leave, focusing on AI research and development.
Includes fields like Clinical, Cognitive, Developmental, and Industrial/Organizational Psychology.