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
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.