Abhay Hukku
About Abhay Hukku
Abhay Hukku is a Scientist in Statistical Genetics at Bristol Myers Squibb, with a background in biostatistics from the University of Michigan and prior experience at Pfizer.
Current Role at Bristol Myers Squibb
Abhay Hukku is currently working as a Scientist in Statistical Genetics at Bristol Myers Squibb, located in Cambridge, Massachusetts, United States. In this position, he applies his expertise in statistical modeling techniques to aid in genetic research. His role involves analyzing genetic data to contribute to the development of biopharmaceuticals.
Previous Experience at Pfizer
From 2019 to 2021, Abhay Hukku worked as a Statistical Genetics Contractor at Pfizer. During this two-year tenure, he contributed significantly to a major project that focused on the genetic basis of drug response. His work at Pfizer involved applying advanced statistical techniques to support pharmaceutical research and development.
Academic and Research Experience at University of Michigan
Abhay Hukku spent nine years at the University of Michigan in various capacities. He was a student from 2012 to 2021, earning a PhD in Biostatistics from 2018 to 2022, a Master's degree in Biostatistics from 2016 to 2018, and an undergraduate degree in Statistics with a minor in Mathematics from 2012 to 2016. Additionally, he worked as a Graduate Research Assistant from 2016 to 2021 and served briefly as a Research Assistant in 2015.
Published Research in Statistical Genetics
During his tenure at the University of Michigan, Abhay Hukku published multiple research papers in the field of statistical genetics. His contributions have added valuable insights into genetic data analysis and advanced statistical modeling techniques. His research findings have been presented at several national and international conferences.
Expertise in Statistical Modeling Techniques
Abhay Hukku has developed a strong expertise in advanced statistical modeling techniques, which are crucial for genetic research. His skills include analyzing complex genetic data sets and applying statistical methods to derive meaningful conclusions, supporting the development of targeted therapies and biopharmaceuticals.