Tian Tian
About Tian Tian
Tian Tian is a Senior Manager at BeiGene in San Mateo, California, with a strong background in statistics and extensive experience in both academic and industry settings.
Current Role at BeiGene
Tian Tian currently holds the position of Senior Manager at BeiGene in San Mateo, California. Tian has been with the company since January 2020. In this role, Tian brings extensive expertise in statistics and research to the organization, contributing to various projects and initiatives.
Previous Experience at AbbVie
Prior to joining BeiGene, Tian Tian worked at AbbVie from 2017 to 2020 for a total of three years. During this period, Tian held roles as a Senior Statistician in Lake County and a Senior Research Statistician in North Chicago. This tenure allowed Tian to accumulate substantial practical experiences and develop statistical models for research.
Internship at FDA
Tian Tian also has experience working as a Student Intern at the FDA from 2015 to 2017 in Silver Spring, Maryland. This two-year period provided an opportunity to gain valuable insights into regulatory processes and application of statistical methods within a federal agency.
Research and Consultancy Work at University of Illinois at Chicago
From 2014 to 2020, Tian Tian was involved in various roles at the University of Illinois at Chicago. Tian worked as a Statistical Consultant at the Statistical Laboratory and served as a Research Assistant in the Department of Mathematics, Statistics, and Computer Science. This work included applying statistical theories to practical problems and contributing to theoretical research focused on phase I clinical trials and optimal design.
Educational Background in Statistics
Tian Tian has a robust educational background in statistics. Tian achieved a Doctor of Philosophy (Ph.D.) in Statistics from the University of Illinois at Chicago, studying there from 2012 to 2017. Prior to this, Tian completed a Bachelor of Science (BS) in Mathematics and Statistics at Nankai University from 2008 to 2012. This solid academic foundation supports Tian's theoretical and applied statistical work.