Ahmed Elbanna

A Wolfram Certified Instructor since 2019, Ahmed Elbanna is a Lead Science and Technology Editor at Wolfram Research, where he is responsible for reviewing and editing a wide range of published content to ensure accuracy, clarity and engagement. In his role, Ahmed collaborates with academics and researchers to develop high-quality educational materials and supports Wolfram Community by moderating discussions and providing technical assistance.

Ahmed has a strong technical background in data analysis, statistical modeling and programming. He is proficient in Wolfram Language, Python and various data visualization tools. His expertise includes deep learning, machine learning and computational teaching, which he leverages to create innovative and impactful educational resources.

Ahmed has over 16 years of teaching experience at various academic institutions, including Tanta University and Budapest University of Technology and Economics. His teaching portfolio includes courses in statistics, quantitative analysis and pure mathematics. Additionally, he has conducted numerous courses and workshops on Wolfram Language and its applications, covering topics such as machine learning, education, calculus, statistics and more.