About

Ji Dai is a highly skilled Research Scientist with expertise in Machine Learning and Deep Learning. He is currently working at Meta, where he is responsible for conducting research and developing new models to improve the performance of the company's products. He has over 2 years of relevant experience in the field and has worked with some of the top companies in the industry. Ji Dai has a PhD in Electrical Engineering from the University of California, San Diego. During his time at UCSD, he conducted extensive research on Machine Learning and Deep Learning, which has helped him gain a deep understanding of the subject. He also holds a Master of Science in Electrical Engineering from Boston University and a Bachelor of Science in Electrical Engineering from Shanghai Jiao Tong University. Prior to joining Meta, Ji Dai worked as a Machine Learning Engineer Intern at Facebook, where he gained valuable experience in the field. He also worked as a Machine Learning Research Intern at Sony, where he was responsible for directing customer activity dataset collection and annotation, developing data annotation tools, and developing deep learning-based customer activity recognition algorithms. During his time at Sony, he achieved state-of-the-art performance in his work. Ji Dai is highly skilled in Python and Pytorch, which are essential tools for Machine Learning and Deep Learning. He is also a skilled researcher, with experience in developing new models and algorithms to improve the performance of products. He is passionate about his work and is always looking for new and innovative ways to solve complex problems. In summary, Ji Dai is a highly skilled Research Scientist with expertise in Machine Learning and Deep Learning. He has over 2 years of relevant experience in the field and has worked with some of the top companies in the industry. He is a skilled researcher, with experience in developing new models and algorithms to improve the performance of products. He is passionate about his work and is always looking for new and innovative ways to solve complex problems.