Summary
Mohamed Ghadie is an applied machine learning specialist with nine years of experience at the intersection of data science, bioinformatics, and algorithm design, currently based in Ottawa and working at the Research Institute of the McGill University Health Centre. He holds a PhD in Biological and Biomedical Engineering and a background in electrical and computer engineering, bringing deep multidisciplinary expertise to structural, biophysical, and evolutionary analyses of biological networks. His career spans academic postdoctoral research and translational roles at major cancer and research centres, where he developed statistical and machine learning methods for high-throughput biological data. Known for blending rigorous research with practical optimization and algorithm design, he often translates complex biological questions into tractable computational solutions. Colleagues describe him as a researcher-engineer who bridges theory and application, with a track record of mentoring and teaching computational tools for the life sciences.
9 years of coding experience
3 years of employment as a software developer
B.A.Sc., B.Sc., Electrical Engineering and Computing Technology, B.A.Sc., B.Sc., Electrical Engineering and Computing Technology at University of Ottawa
M.A.Sc., Electrical and Computer Engineering, M.A.Sc., Electrical and Computer Engineering at University of Ottawa / University of Toronto
Ph.D., Biological and Biomedical Engineering, Ph.D., Biological and Biomedical Engineering at McGill University
English, Arabic