Fei Xing
About Fei Xing
Fei Xing serves as the Director of Data Science at Mathematica, where he has worked since 2013. He holds a Ph.D. in Mathematics and has extensive experience in data analysis and project leadership in the health quality sector.
Work at Mathematica
Fei Xing has served as the Director of Data Science at Mathematica since 2013. In this role, he leads an analytic team focused on evaluating the scientific soundness of health quality measures. His leadership contributes to the organization's mission of improving public policy and social programs through data-driven insights. Xing's tenure at Mathematica spans over 11 years, during which he has been involved in various projects and initiatives that leverage data science to inform decision-making.
Education and Expertise
Fei Xing holds multiple degrees in mathematics and statistics. He earned a Doctor of Philosophy (Ph.D.) in Mathematics from the University of Tennessee, Knoxville, where he studied from 2008 to 2013. He also achieved a Master of Science (M.Sc.) in Statistics from the same institution, completing his studies from 2011 to 2013. Prior to this, he obtained a Master of Science (M.Sc.) in Mathematical Statistics and Probability from Tsinghua University, where he studied from 2006 to 2008. His academic background is complemented by a Bachelor of Science (BS) in Mathematics from Tsinghua University, completed from 2002 to 2006.
Background
Before joining Mathematica, Fei Xing worked as a Teaching Assistant at the University of Tennessee from 2008 to 2009. This experience provided him with foundational skills in education and mentorship, which he has applied in his subsequent roles. His academic and professional journey reflects a strong commitment to the fields of mathematics and data science, underscoring his expertise in statistical analysis and research methodologies.
Achievements
Fei Xing has directed significant projects during his career. Notably, he led a project aimed at streamlining the occupation coding process for a national biennial survey for the National Science Foundation. Additionally, he plays a crucial role in leading the submission of multiple business proposals, showcasing his ability to integrate data science with strategic planning and organizational goals.