Muammar El Khatib
About Muammar El Khatib
Muammar El Khatib is a Principal Machine Learning Scientist at Bristol Myers Squibb in Cambridge, Massachusetts, with extensive experience in machine learning, chemical sciences, and quantum chemistry.
Title
Muammar El Khatib is the Principal Machine Learning Scientist at Bristol Myers Squibb, based in Cambridge, Massachusetts, United States.
Professional Experience at Bristol Myers Squibb
Muammar El Khatib currently holds the position of Principal Machine Learning Scientist at Bristol Myers Squibb in Cambridge, Massachusetts. Prior to this role, he served as a Senior Machine Learning Scientist at the same company for three months from 2020 to 2021. His work at Bristol Myers Squibb includes contributing to the development of machine learning models for drug discovery.
Research Work at Berkeley Lab
From 2018 to 2020, Muammar El Khatib worked as a Postdoctoral Scholar in Machine Learning and Chemical Sciences at Berkeley Lab in the San Francisco Bay Area. During his tenure, he published research focusing on the application of machine learning within chemical sciences.
Postdoctoral Research at Brown University
From 2016 to 2018, Muammar El Khatib served as a Postdoctoral Research Associate at Brown University in Providence, Rhode Island. His research involved developing advanced quantum chemical simulations, contributing significantly to the field during his two-year tenure.
Educational Background
Muammar El Khatib earned his PhD in Theoretical Chemical Physics from Université Paul Sabatier Toulouse III, where he also completed a Master's degree in Quantum Chemistry. He holds another Master's degree in Theoretical Chemistry from Erasmus Mundus. His undergraduate studies were conducted at Universidad del Zulia, where he achieved a Bachelor of Science degree in Chemistry.
Open Source Contributions
In addition to his academic and professional pursuits, Muammar El Khatib is an active contributor to the open-source community. He serves as a developer for Debian, demonstrating his commitment to collaborative and accessible software development.