About

Hua Ouyang is a highly experienced Principal Machine Learning Research Engineer at Apple. With over 11 years of relevant experience in the tech industry, Hua has worked in various roles at Apple and Yahoo, and has gained expertise in research, software engineering, and machine learning. Currently, Hua is responsible for leading research efforts in machine learning at Apple, focusing on developing and improving Siri's web search relevance. Prior to this, Hua served as the Lead of Siri Web Search Relevance and Senior Software Engineer at Apple, where he worked on developing algorithms and models for Siri's search capabilities. Before joining Apple, Hua worked as a Research Scientist at Yahoo, where he gained experience in search and web technology. Hua holds a PhD in Computer Science from the Georgia Institute of Technology, as well as a Bachelor's and Master's degree in Computer Science from Huazhong University of Science and Technology and The Chinese University of Hong Kong, respectively. With his extensive education and experience, Hua has developed expertise in a range of technical areas, including machine learning, search, web technology, and software engineering. Hua's technical skills are impressive, and he is proficient in a range of programming languages and tools. His tech stack includes research scientist, ML, search, web, and software engineering. He is passionate about using technology to solve complex problems and is always looking for new ways to innovate and improve. Overall, Hua Ouyang is a highly skilled and experienced Principal Machine Learning Research Engineer, with a proven track record of success in the tech industry. His expertise in machine learning and software engineering, combined with his passion for innovation, make him a valuable asset to any team.