Keyur Desai
About Keyur Desai
Keyur Desai is the Associate Director of Translational Medicine Statistics and Principal Scientist in Biomarker Discovery at Bristol-Myers Squibb in Princeton, New Jersey.
Current Roles at Bristol-Myers Squibb
Keyur Desai currently serves as Associate Director - Translational Medicine Statistics and Principal Scientist Biomarker Discovery at Bristol-Myers Squibb in Princeton, New Jersey. In these roles, Desai is involved in translational medicine statistics and biomarker discovery, leveraging his expertise to advance the field of personalized medicine.
Past Experience at GE Global Research
From 2013 to 2016, Keyur Desai worked at GE Global Research as the Biostatistics and Bioinformatics Lead in Niskayuna, New York. His role involved leading biostatistics and bioinformatics initiatives, providing critical support for various research projects.
Research Positions at Princeton University and Michigan State University
Keyur Desai held significant research positions at both Princeton University and Michigan State University. He was a Postdoctoral Research Fellow at Princeton University from 2008 to 2013, focusing on genomics and statistics. Prior to that, he was a Graduate Research Fellow and Research Associate at Michigan State University from 2001 to 2008, specializing in electrical engineering and biostatistics.
Educational Background
Keyur Desai has a strong educational foundation in engineering and statistics. He earned his PhD in Electrical Engineering from Michigan State University, where he studied from 2001 to 2008. He also achieved a Bachelor's degree in Electrical, Electronics, and Communications Engineering from The Maharaja Sayajirao University of Baroda, and a Postdoctoral Researcher Fellowship in Genomics and Statistics from Princeton University.
Expertise in Biomarker Discovery and High-Dimensional Statistics
Keyur Desai's expertise includes biomarker discovery, assay development, companion diagnostics, and prognostic and predictive classifiers. He has extensive experience generating and analyzing big data from next-generation sequencing (NGS), immunohistochemistry (IHC), imaging, and clinical sources. His work focuses on personalized medicine and he collaborates closely with biologists and clinicians in oncology, immunology, and medical diagnostics.