Brennan Lee
About Brennan Lee
Brennan Lee is a Scientist in Computational Biology at Bristol Myers Squibb, focusing on variational inference and Bayesian methods in cancer research.
Current Role at Bristol Myers Squibb
Brennan Lee currently serves as a Scientist in Computational Biology at Bristol Myers Squibb in Cambridge, Massachusetts. In this role, he is part of the Informatics and Predictive Science Team, focusing on cancer research. His responsibilities include utilizing variational inference and Bayesian methods to support advances in computational biology.
Professional Experience at Memorial Sloan Kettering Cancer Center
Brennan Lee worked at Memorial Sloan Kettering Cancer Center as a Graduate Student Researcher from 2019 to 2021. During his time there, he was involved in various research initiatives related to computational biology. Previously, he also gained experience as an Undergraduate Researcher for two months in 2018, contributing to significant projects in the Greater New York City Area.
Educational Background in Computational Biology
Brennan Lee earned a Master of Science (MS) degree in Computational Biology from Weill Cornell Graduate School of Medical Sciences, studying from 2019 to 2021. His education provided a robust foundation in computational biology, supporting his professional roles. Lee's academic focus includes variational inference and Bayesian methods within computational biology.
Bachelor’s Degree in Mathematics and Computer Science from MIT
Brennan Lee completed his Bachelor of Science (BS) degree in Mathematics with Computer Science at the Massachusetts Institute of Technology (MIT) from 2015 to 2019. His undergraduate studies at MIT equipped him with a strong background in both mathematics and computer science, crucial for his subsequent work and research in computational biology.
Early Career and Internship Experience
Brennan Lee has a diverse early career with roles that include working as an Associate Computational Biologist at McGovern Institute for 5 months in 2019, and various research internships. He interned at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) in 2016, and Roche Diagnostics Hematology in 2015. His work as an Undergraduate Researcher at the Koch Institute for Integrated Cancer Research from 2017 to 2018 further supplemented his hands-on experience in computational biology.