Ibrahim Almosallam
Executive Advisor To H.E. Vice Minster Of Communications And Information Technologies
Saudi Arabia
Summary
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Senior🎓
Top SchoolIbrahim Almosallam is an executive advisor and researcher with over 15 years in AI/ML and five years focused on quantum technologies, currently advising the Vice Minister of Communications and IT in Saudi Arabia. He holds a DPhil in Machine Learning from the University of Oxford and blends deep academic credentials with practical experience in big data analytics, social network analysis, and speech and language processing. Ibrahim has led national quantum efforts and was ranked 2nd in the IBM Quantum Challenge (2021), reflecting both technical skill and competitive achievement. He contributes to AI and quantum governance—authoring World Economic Forum reports and shaping post-quantum security strategy—bridging research, policy, and implementation. Known for turning complex data into actionable policy, he brings a rare combination of hands-on research experience, government leadership, and international advisory influence.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Science (BS) Computer Science, Bachelor of Science (BS) Computer Science at King Fahd University of Petroleum & MineralsDoctor of Philosophy (Ph.D.) Machine Learning, Doctor of Philosophy (Ph.D.) Machine Learning at University of OxfordAdvance English Courses, Advance English Courses at Columbia UniversityUniversity of Missouri
Arabic, English
Github Skills (8)
gaussian9
stochastic-processes9
stochastic9
information-theory9
gaussian-processes8
quantum-computing4
quantum-algorithms3
quantum-programming-language2
Programming languages (2)
Github contributions (5)
csibrahim/photoz
Feb 2015 - Oct 2015
Contributions:66 commits, 58 pushes, 1 branch in 8 months
OxfordML/GPz
Mar 2016 - Apr 2021
GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data
Contributions:49 commits, 51 pushes, 1 branch in 5 years 1 month
incomplete-datainformation-theorygaussianstochasticstochastic-processes
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