Shams Basir

Shams Basir

Senior Manager, Data Scientist @ Bristol Myers Squibb

About Shams Basir

Shams Basir is a Senior Manager and Data Scientist at Bristol Myers Squibb with a robust background in machine learning, cloud computing, and high-performance computing.

Title

Shams Basir holds the position of Senior Manager, Data Scientist at Bristol Myers Squibb. His responsibilities include leading data science initiatives with a focus on innovative healthcare solutions.

Company

Shams Basir is currently employed at Bristol Myers Squibb, where he works remotely from Princeton, New Jersey. His role involves developing generative AI solutions and private chatbots to advance the company's healthcare technologies.

Education and Expertise

Shams Basir has an extensive educational background, including a PhD in Mechanical and Material Science Engineering from the University of Pittsburgh. He also studied at Carnegie Mellon University, focusing on Machine Learning. His foundational studies include a Bachelor's degree in Aerospace, Aeronautical and Astronautical Engineering, as well as Civil Engineering, both earned from Middle East Technical University. His technical expertise includes machine learning, deep learning, NLP technologies, cloud computing, computational fluid dynamics, and high-performance computing.

Background

Shams Basir began his professional journey as a Graduate Research Assistant at the University of Pittsburgh Swanson School of Engineering, where he worked on projects involving physics-informed neural networks for partial differential equations. His past roles also include a brief stint as a Data Scientist at Bristol Myers Squibb and participation in the Generation Junior Cloud Practitioner Program. He has a proven track record in cloud computing, computational fluid dynamics, and high-performance computing.

Achievements

Over the course of his career, Shams Basir has published multiple papers in prestigious journals and conferences. He received the Research Assistant of the Year award in 2022. His work has also involved substantial contributions to NLP and Large Language Model projects, which focus on healthcare innovation. His proficiency in Python, C/C++, and CUDA has been critical to his research and professional success.

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