Shams Zaman
About Shams Zaman
Shams Zaman is the Director of Global Biometrics & Data Sciences at Bristol Myers Squibb, with a background in data science and machine learning across various healthcare and research institutions.
Current Role at Bristol Myers Squibb
Shams Zaman serves as the Director of Global Biometrics & Data Sciences at Bristol Myers Squibb. In his role, he leads the integration of real-world evidence with clinical trial data to enhance drug safety monitoring. Additionally, he has developed a machine learning model that improves prediction accuracy of patient outcomes in clinical trials. His responsibilities also include collaborating with cross-functional teams to implement data-driven strategies for optimizing clinical trial designs and mentoring junior data scientists to develop skills in statistical analysis and machine learning.
Professional Experience in Data Science
Before joining Bristol Myers Squibb, Shams Zaman gained significant experience in data science through various roles. He worked as a Principal Data Scientist at Verizon in Bethesda, Maryland, from 2019 to 2020. Prior to that, he was a Machine Learning Research Scientist at Artificial Intelligence & Services, Philips Healthcare Research in Cambridge, MA, from 2018 to 2019. He also served as a Guest Data Scientist at the National Heart, Lung, and Blood Institute in Bethesda, Maryland, from 2017 to 2018.
Academic Background
Shams Zaman earned his PhD in Genome Sciences/Genomics from the University of Maryland Baltimore County, where he studied from 2010 to 2016. He also holds a Master's Degree in Genetic Engineering and Biotechnology from the University of Dhaka, achieved during the period from 2008 to 2009. His academic career laid a strong foundation for his subsequent work in data science and genomics.
Research and Publications
Shams Zaman has contributed to the field of data science and genomics through various research endeavors. He presented his research findings on predictive modeling in healthcare at the International Conference on Machine Learning (ICML) in 2021. Furthermore, he published a paper on the application of machine learning in genomics in a peer-reviewed journal in 2022, demonstrating his commitment to advancing the field through scholarly work.
Early Career and Fellowships
Earlier in his career, Shams Zaman was a Data Science Fellow at Insight Data Science in Boston in 2016. He also worked as a Data Scientist at the FDA - Office of Computational Science in White Oak, MD, from 2016 to 2018. Additionally, he was a Graduate Research Student at the University of Maryland Baltimore County from 2010 to 2016 and a Rotating Graduate Student at the Institute for Genome Sciences in Baltimore, Maryland, from 2009 to 2010.