Sheng Xu
About Sheng Xu
Sheng Xu is a Senior Statistician at BeiGene with a PhD in Mathematics and Statistics from The Hong Kong Polytechnic University and extensive experience in academia and industry.
Title
Sheng Xu is a Senior Statistician currently working at BeiGene. His role involves developing advanced statistical models for clinical trials, collaborating with cross-functional teams, and mentoring junior statisticians.
Education and Expertise
Sheng Xu holds a Doctor of Philosophy (PhD) in Mathematics and Statistics from The Hong Kong Polytechnic University, achieved over four years from 2016 to 2020. He also studied Finance at The London School of Economics and Political Science (LSE) for 11 months in 2013 and International Economics at the University of Vienna for 11 months in 2012. Additionally, he earned a Bachelor of Science (BSc) in Financial Engineering from the University of Macau, where he studied from 2011 to 2015.
Professional Background
Prior to his current role at BeiGene, Sheng Xu served as a Visiting Scholar at Florida State University from 2019 to 2020, engaging in scholarly activities in the Tallahassee, Florida area. From 2016 to 2018, he was a Research Team Member at the National Natural Science Foundation of China, contributing to significant research projects. Additionally, he interned at The People's Bank of China for two months in 2014, where he gained experience in the financial sector in Shanghai.
Research and Publications
During his PhD studies, Sheng Xu published multiple research papers in peer-reviewed journals, sharing his expertise in mathematics and statistics with the academic community. He also presented his research findings at international statistical conferences, demonstrating his commitment to advancing the field through scholarly communication.
Contributions to BeiGene
At BeiGene, Sheng Xu plays a critical role in improving data analysis processes and developing statistical models for clinical trials. His work supports the company's mission to provide effective treatments by ensuring robust and accurate data interpretation. In addition to his technical contributions, he mentors junior statisticians and offers training on advanced statistical methodologies, fostering a culture of continuous learning and development within the team.