Peter Salzman
About Peter Salzman
Peter Salzman is the Manager of Manufacturing Operations Analytics at Bristol Myers Squibb in Massachusetts, United States, with a background in biostatistics, computational biology, and advanced statistical methods.
Current Role at Bristol Myers Squibb
Peter Salzman is currently the Manager of Manufacturing Operations Analytics at Bristol Myers Squibb, based in Massachusetts, United States. In this role, he focuses on developing and applying advanced statistical and data mining methods to enhance data-driven decision making. He also provides leadership and mentorship to data teams, ensuring efficient communication with senior management.
Prior Experience in Non-Clinical Statistics
From 2017 to 2020, Peter Salzman served as the Manager of Non-Clinical Statistics at Bristol Myers Squibb, also in Massachusetts, United States. During his tenure, he designed guidelines for collaborations and data support, playing a key role in enhancing the company's statistical models and quantitative analytics.
Academic Background and Early Research
Peter Salzman holds a Doctor of Philosophy (PhD) in Management Science and Engineering from Stanford University, completed in 2005. He began his research career as a research assistant at Stanford University and earlier at The Hebrew University of Jerusalem, where he earned both a Master's degree in Statistics and Operational Research and a Bachelor's degree in Mathematics and Statistics.
Tenure at University of Rochester Medical Center
From 2008 to 2016, Peter Salzman worked as an Assistant Professor of Biostatistics and Computational Biology at the University of Rochester Medical Center in Rochester, New York. Prior to that, he held a postdoctoral fellowship at the same institution from 2004 to 2008. His work focused on both teaching and research in the fields of biostatistics and computational biology.
Experience as Visiting Scientist at Dana-Farber Cancer Institute
In 2014, Peter Salzman spent six months as a Visiting Scientist at the Center for Cancer Computational Biology at the Dana-Farber Cancer Institute in the Greater Boston Area. During his time there, he gained valuable experience in cancer computational biology, contributing to the institute's research efforts.