Ang Li
About Ang Li
Ang Li is a Research Biostatistician at Bristol-Myers Squibb in New Jersey, United States, with a background in statistical programming and a Doctorate in Philosophy from Rutgers University.
Current Title and Role
Ang Li is currently employed as a Research Biostatistician at Bristol-Myers Squibb in New Jersey, United States. In this role, Ang Li focuses on statistical analysis and data interpretation, contributing to various clinical trials to ensure the accuracy and reliability of trial results.
Previous Work Experience
Ang Li has a solid background in statistical programming and research biostatistics. Ang Li's professional journey includes working as a Statistical Programmer at Bristol-Myers Squibb from 2013 to 2015, followed by a similar role at Prosoft Clinical Research from 2012 to 2013. These positions have provided Ang Li with extensive experience in clinical trial data analysis and statistical model development.
Education and Academic Background
Ang Li holds a Doctor of Philosophy in Philosophy from Rutgers University, earned from 2014 to 2020. Prior to this, Ang Li completed a Master of Science from the University of Massachusetts Amherst between 2010 and 2012. Ang Li also holds a Bachelor of Science in Plant Science from Shanghai Jiao Tong University, earned from 2006 to 2010.
Contributions to Clinical Trials
Ang Li has actively contributed to multiple clinical trials at Bristol-Myers Squibb, focusing on the statistical analysis of trial data. Ang Li has developed innovative statistical models that enhance the precision and accuracy of clinical trial results. Additionally, Ang Li has been involved in mentoring junior biostatisticians and statistical programmers, fostering growth and development in the team.
Publications and Presentations
Ang Li has published several peer-reviewed articles in notable biostatistics journals. Furthermore, Ang Li has presented research findings at international conferences dedicated to biostatistics and pharmaceutical research. These contributions have helped advance the field of biostatistics and shared valuable insights with the broader scientific community.