Chris Sosa, PhD

Chris Sosa, PhD

Director Of Data Science & AI Solutions @ Bristol Myers Squibb

About Chris Sosa, PhD

Chris Sosa, PhD, is the Director of Data Science & AI Solutions at Bristol Myers Squibb in the United States, with a background in chemical and biological engineering from Princeton University and Columbia Engineering.

Current Role at Bristol Myers Squibb

Chris Sosa, PhD, currently holds the position of Director of Data Science & AI Solutions at Bristol Myers Squibb in the United States. In this role, he is responsible for overseeing data science initiatives, driving innovation through advanced AI technologies, and contributing to strategic decisions within the company.

Previous Positions at Bristol Myers Squibb

Chris Sosa has held several key roles at Bristol Myers Squibb. From 2022 to 2023, he was the Director of Asset and Portfolio Decision Analytics in Princeton, New Jersey, where he focused on portfolio management and strategic decision-making. Before that, from 2021 to 2022, he served as Lead Decision Scientist in Oncology Strategy, contributing to cancer treatment strategies and analytics.

Academic Roles at Princeton University

Chris Sosa worked at Princeton University in multiple capacities. From 2018 to 2019, he was a Bilodeau-Overdeck Teaching Scholar. He also served as a Department of Energy SCGF Graduate Research Fellow from 2013 to 2017. Additionally, he was a Princeton Presidential Scholar from 2011 to 2013, demonstrating his strong commitment to academia and research.

Educational Background

Chris Sosa earned his Doctor of Philosophy (Ph.D.) in Chemical and Biological Engineering from Princeton University, where he studied from 2011 to 2017. He also achieved a Master's degree in the same field from Princeton University from 2011 to 2013. Prior to that, he graduated Summa Cum Laude with a Bachelor of Science (BS) in Chemical Engineering from Columbia Engineering, from 2007 to 2011.

Early Career and Internships

In the early stages of his career, Chris Sosa gained valuable experience through various internships and roles. In 2010, he was a Computational Chemistry Intern at the National Science Foundation (NSF) in Santiago De Compostela Area, Spain. He also worked as a Genentech Undergraduate Research Scholar at Columbia University in the City of New York from 2009 to 2010.

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