Jin Yao
About Jin Yao
Jin Yao is a Senior Principal Scientist at Bristol Myers Squibb, specializing in biomarker discovery for oncology studies using machine learning and statistical methods.
Title at Bristol Myers Squibb
Jin Yao currently holds the position of Senior Principal Scientist at Bristol Myers Squibb. He has been with the company since October 2019 and works at their Princeton, New Jersey location. In his role, Jin focuses on biomarker discovery for both preclinical and clinical oncology studies. His expertise includes utilizing machine learning and statistical methods for target identification and validation through integrative analysis of biomedical data.
Previous Experience at GSK
Before joining Bristol Myers Squibb, Jin Yao worked at GSK as a GSK Associate Fellow from 2015 to 2019. During his tenure, he was based at the NY State Center of Excellence in Bioinformatics & Life Sciences. His work there significantly contributed to the field of biomarker discovery using advanced machine learning approaches.
Research Roles in Academia
Jin Yao has an extensive academic background, having held several research positions before transitioning to the pharmaceutical industry. In 2015, he worked as a Postdoctoral Associate at the University at Buffalo's NY State Center of Excellence in Bioinformatics & Life Sciences. Prior to that, he served as a Research Assistant at the University of Florida's Interdisciplinary Center for Biotechnology Research from 2010 to 2014 and at the University of Minnesota’s Department of Bioproducts and Biosystems Engineering from 2008 to 2010.
Educational Background
Jin Yao holds a Ph.D. in Electrical and Computer Engineering from the University of Florida, where he also earned his M.S. in the same field. He pursued a Master’s Degree in Bioproducts and Biosystems Engineering from the University of Minnesota. Additionally, he completed a Bachelor's in Electrical and Mechanical Engineering from Nanjing Forestry University.
Specialization in Oncology Biomarker Discovery
Jin Yao specializes in the discovery of biomarkers for oncology studies. His work focuses on target identification and validation through integrative analysis of biomedical data. He evaluates and implements advanced machine learning approaches to enhance drug discovery and development. Known for his expertise in Protein Homeostasis Structural Biology, Jin has contributed significantly to both preclinical and clinical oncology research.