Abhishek K Dubey, Ph.D.
About Abhishek K Dubey, Ph.D.
Abhishek K Dubey, Ph.D., is a Senior Manager at Bristol Myers Squibb, specializing in Global Biometrics and Data Sciences.
Current Position at Bristol Myers Squibb
Abhishek K Dubey, Ph.D., serves as the Senior Manager in Global Biometrics and Data Sciences at Bristol Myers Squibb. Based in Princeton, New Jersey, he engages in developing and implementing Bayesian monitoring schemes for clinical trials involving immune checkpoint inhibitors. His work contributes to the development strategy for various cancer treatments and in advancing next-generation clinical programs.
Past Experience at National Cancer Institute
From 2020 to 2021, Abhishek worked as a Research Fellow in the Cancer Data Science Laboratory at the National Cancer Institute. Located in Bethesda, Maryland, he focused on cancer data science, utilizing his expertise in data analysis and biostatistics to support research efforts aimed at understanding and combating cancer.
Postdoctoral Research at Oak Ridge National Laboratory
Abhishek held the position of Postdoctoral Researcher in Artificial Intelligence within the Advanced Computing for Health Sciences group at Oak Ridge National Laboratory from 2018 to 2020. During his tenure in Knoxville, Tennessee, he concentrated on leveraging artificial intelligence for health sciences, contributing to significant advancements in the field.
Education and Academic Research
Abhishek K Dubey completed his Doctor of Philosophy (Ph.D.) in Computer Science at Duke University between 2012 and 2018. His academic research included medical image analysis and big data analytics. Prior to that, he earned a Bachelor of Technology (B.Tech.) in Computer Science and Engineering from the Indian Institute of Technology, Kharagpur, between 2005 and 2009.
Early Career and Internships
Abhishek's early career includes a role as Member of Technical Staff at Oracle India Private Limited from 2009 to 2012. He also completed research internships at IBM Research's Cloud Systems Analytics Group in 2014 and at the Laboratory of Automated Reasoning at EPFL in 2008. These experiences helped build a foundation in technical and research skills, contributing to his expertise in data sciences and artificial intelligence.