Jue Guo

"We choose to go to the moon in this decade and do the other things, not because they are easy, but because they are hard." – John F. Kennedy

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301 Davis Hall Desk 12

12 Capen Hall

Buffalo, New York 14260-1660

Jue Guo is a dedicated Ph.D. candidate in Computer Science with a strong academic and professional background. His teaching experience spans crucial areas of the field, notably in deep learning and pattern recognition, where he has effectively imparted knowledge and inspired future computer scientists. Jue’s research has been particularly focused on pioneering machine learning methodologies, encompassing diverse applications such as image classification, natural language processing, continual learning, and medical imaging.

Jue’s technical proficiency is demonstrated by his expertise in python, pytorch and JavaScript, which he seamlessly integrates into his research and development work. His adept use of various machine learning frameworks allows him to approach and solve complex computational challenges with precision and innovation. This combination of teaching acumen, research excellence, and versatile programming skills positions Jue as an accomplished and forward-thinking contributor to the field of computer science.

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Aug 26, 2024 start teaching deep learning
Jun 24, 2024 start teaching intro to pattern recognition
Jan 24, 2024 start teaching machine learning
Aug 28, 2023 start teaching Deep Learning
Jun 26, 2023 start teaching Intro to Pattern Recognition