Pei Yang
About Pei Yang
Pei Yang is a Machine Learning Scientist at Bristol Myers Squibb with expertise in biomarker detection and clinical trials related to genomic data.
Current Role at Bristol Myers Squibb
Pei Yang currently serves as a Machine Learning Scientist at Bristol Myers Squibb. Based in Seattle/Redwood City, Yang began working for the company in January 2022. In this role, Yang focuses on applying machine learning techniques to genomic data, specifically in the realm of biomarker detection methods and clinical trials. This position leverages Yang's extensive background in both Mathematics and Psychology.
PhD Researcher at The Ohio State University
Pei Yang worked as a PhD Researcher at The Ohio State University from 2018 to 2021. Over three years, Yang focused on statistical methods in genomic data. This research involved developing advanced biomarker detection methods tailored for genomic data, contributing valuable knowledge to the field. This work formed the foundation for Yang's later contributions as a Machine Learning Scientist.
Education at The Ohio State University
Pei Yang pursued extensive studies at The Ohio State University, earning multiple degrees. Yang achieved a Doctor's Degree with a focus on statistical methods in genomic data. Additionally, Yang obtained dual Bachelor of Science degrees in Mathematics and Psychology, studying from 2010 to 2014. This robust educational foundation supports Yang's expertise in both the computational and cognitive aspects of data science.
Studies at Victoria Junior College
Prior to attending The Ohio State University, Pei Yang studied at Victoria Junior College from 2008 to 2009. This formative period laid the groundwork for Yang's later academic and professional achievements. The rigorous curriculum at Victoria Junior College helped prepare Yang for the multidisciplinary challenges encountered in higher education and advanced research.