Mohamed Osama Ahmed
About Mohamed Osama Ahmed
Mohamed Osama Ahmed is a Senior Machine Learning Researcher at Borealis AI in Vancouver, Canada, where he has worked since 2021. He holds a PhD in Computer Science from The University of British Columbia and has a strong background in engineering and machine learning.
Work at Borealis AI
Mohamed Osama Ahmed has been employed at Borealis AI since 2021, where he serves as a Senior Machine Learning Researcher. His role involves advanced research and development in machine learning techniques. Prior to this position, he worked at Borealis AI as a Machine Learning Researcher from 2019 to 2021. Both roles were based in Vancouver, British Columbia, Canada, contributing to the company's focus on innovative AI solutions.
Education and Expertise
Mohamed Osama Ahmed has a strong academic background in engineering and computer science. He earned a Bachelor of Science in Electrical, Electronics and Communications Engineering from Cairo University from 2001 to 2006. He then pursued a Master of Science in Engineering Physics at Cairo University from 2007 to 2010. Ahmed continued his education at The University of British Columbia, where he completed a Master of Applied Science in Electrical Engineering (Communications) from 2010 to 2013, followed by a Doctor of Philosophy in Computer Science (Machine Learning) from 2013 to 2018.
Research Contributions
Mohamed Osama Ahmed has contributed to the field of machine learning through his research on Bayesian optimization and its applications. He has authored a tutorial on this topic, which highlights his expertise and commitment to advancing knowledge in machine learning methodologies. His work emphasizes the practical implications of Bayesian optimization in various contexts.
Professional Experience
Before joining Borealis AI, Mohamed Osama Ahmed gained valuable experience as a Machine Learning Researcher at the same organization from 2019 to 2021. His progression to a Senior Machine Learning Researcher reflects his growing expertise and contributions to the field. His professional journey showcases a consistent focus on machine learning and optimization techniques.