Ghaleb Abdulla
About Ghaleb Abdulla
Ghaleb Abdulla is a Senior Data Scientist at Lawrence Livermore National Laboratory, where he has worked since 2000. He holds a B.Sc. in Electrical and Computer Engineering, an MSc, and a PhD in Computer Science, and has contributed to significant projects in scientific computing and cancer research.
Work at Lawrence Livermore National Laboratory
Ghaleb Abdulla has been employed at Lawrence Livermore National Laboratory since 2000, serving as a Senior Data Scientist. His role involves leveraging data science techniques to support various research initiatives. He previously held the position of Director at the Institute for Scientific Computing Research from 2014 to 2017. Abdulla has contributed to significant projects such as the Large Synaptic Survey Telescope (LSST) and the National Ignition Facility (NIF). He also established a data science internship program aimed at training students and recruiting talent for the laboratory.
Education and Expertise
Ghaleb Abdulla holds a Bachelor of Science in Electrical and Computer Engineering from Jami'at Al-Yarmouk, where he studied from 1980 to 1984. He furthered his education at Virginia Polytechnic Institute and State University, earning a Master of Science in Computer Science from 1991 to 1994, followed by a PhD in Computer Science from 1994 to 1998. His educational background provides a strong foundation for his expertise in data science and machine learning applications.
Background
Before joining Lawrence Livermore National Laboratory, Ghaleb Abdulla worked as an Information Technology Specialist at Dow Chemical Company from 1998 to 2000 in the Houston, Texas area. He began his career as a Systems Engineer at Al Alamiah Electronics, where he worked from 1984 to 1990. His diverse experience in engineering and information technology has contributed to his current role in data science.
Achievements
Ghaleb Abdulla has received the 'DOE Secretary’s Appreciation Award' for his contributions to optimizing and personalizing cancer screening through machine learning. He has played a significant role in the vice president’s cancer moon-shot initiative, demonstrating his commitment to advancing cancer research. Additionally, he has led international collaboration projects involving data management and analysis with organizations such as the Cancer Registry of Norway and the Earth System Grid Federation.