Xu Zhang
About Xu Zhang
Xu Zhang serves as the AI Lab Chief Data Scientist at PING AN in Shanghai, China, where he has worked since 2019. With a strong background in data science and technology, he has held significant positions at various companies including Saic Motor, Huawei, and Amazon.
Work at PING AN
Xu Zhang has served as the AI Lab Chief Data Scientist at PING AN since 2019. In this role, he focuses on advancing artificial intelligence applications within the company, particularly in the realm of medical health management. His work contributes to the development of innovative solutions that enhance safe medical insurance practices. Zhang operates from Shanghai City, China, where he has been instrumental in various health management initiatives that aim to benefit society.
Previous Employment History
Prior to his current position, Xu Zhang held several significant roles in the technology and automotive sectors. He worked as Chief Data Scientist at Saic Motor Co., Ltd. for one year in 2018-2019. Before that, he spent four years as Chief Data Scientist at Huawei Technologies from 2014 to 2018. His earlier experience includes a role as a Software Development Engineer at Amazon from 2007 to 2009 and as a Technical Data Expert at Sina Com Technology (China) Co. LTD from 2013 to 2014. He also worked as a Technical Expert at Alibaba.com from 2010 to 2013.
Education and Expertise
Xu Zhang has an extensive educational background in computer science. He earned his Bachelor's degree from the University of Science and Technology of China, studying from 1994 to 1999. He then obtained a Master's degree in Computer Science from the University of Chinese Academy of Sciences, completing his studies from 1999 to 2002. Zhang further advanced his education by achieving a Doctor of Philosophy (Ph.D.) in Computer Science from the University of Florida, where he studied from 2002 to 2007.
Contributions to Health Management
At PING AN Medical Health Management Co., Ltd., Xu Zhang has made significant contributions to health management initiatives. His work focuses on leveraging data science to improve medical health services and insurance processes. These initiatives aim to enhance the overall efficiency and effectiveness of health management systems, thereby positively impacting society.