NAG
Majdi Fanous is a Probabilistic Machine Learning Specialist at NAG, with a background in Data Science and Computational Intelligence. Majdi has experience in various industries, including research, engineering, and tutoring. With a diverse skill set in machine learning, data analysis, and engineering, Majdi has contributed to projects involving satellite imagery analysis, hydro-morphodynamic modeling, and developing stochastic models for finance. Majdi holds a PhD in Data Science with applications in tackling climate change, demonstrating a commitment to using technology for positive environmental impact.
NAG
NUMERICAL SOFTWARE, HPC AND TECHNICAL SERVICES NAG provides industry-leading numerical software and technical services to banking and finance, energy, engineering, and market research, as well as academic and government institutions. World renowned for the NAG® Library - the most rigorous and robust collection of numerical algorithms available - NAG also offers Automatic Differentiation, Machine Learning, and Mathematical Optimization products, as well as world-class technical consultancy across HPC and Cloud HPC, code porting and optimisation, and other areas of numerical computing. Founded more than 50 years ago from a multi-university venture, NAG is headquartered in Oxford, UK with offices in the UK, US, EU and Asia. For more information, visit nag.com/aboutus.