Chen Yao
About Chen Yao
Chen Yao is a Principal Scientist at Bristol Myers Squibb in Cambridge, Massachusetts, with extensive experience in bioinformatics and a strong background in bioengineering and biomedical engineering.
Title
Chen Yao is a Principal Scientist at Bristol Myers Squibb located in Cambridge, Massachusetts, United States. With comprehensive experience and expertise in the field of bioinformatics, Yao plays a key role in advancing late-stage clinical drug data analysis.
Company
Chen Yao is currently employed by Bristol Myers Squibb, a global biopharmaceutical company. Bristol Myers Squibb specializes in discovering, developing, and delivering innovative medicines that help patients prevail over serious diseases. Yao’s contributions align with the company's mission to deliver life-saving and life-enhancing drugs.
Education and Expertise
Chen Yao holds a Doctor of Philosophy (Ph.D.) in Bioinformatics from the University of Electronic Science and Technology of China. In addition, Yao has a Bachelor's degree in Bioengineering and Biomedical Engineering from China Pharmaceutical University and a Master's degree in Biophysics from Harbin Medical University. With a multidisciplinary educational background, Yao specializes in bioinformatics data analysis, specifically for late-stage clinical drugs, and has extensive experience in the field.
Background
Chen Yao has accumulated over a decade of experience in bioinformatics. Previously, Yao worked as a Staff Scientist at the National Heart, Lung, and Blood Institute from 2012 to 2021, contributing to cardiovascular research. Prior to that, Yao was a Research Fellow at Tsinghua University in 2011, where he gained valuable academic research experience.
Achievements
Throughout a prolific career, Chen Yao has worked on significant projects at the National Heart, Lung, and Blood Institute, contributing to advancements in cardiovascular research. Yao’s extensive background in bioengineering and biomedical engineering facilitates a multidisciplinary approach to tackling complex problems in bioinformatics and clinical drug data analysis.