Hamed Najafabadi is an Associate Professor at McGill University with 11 years of experience applying machine learning and statistical inference to large genomics datasets. His research deciphers how transcription factors, RNA-binding proteins, and non-coding RNAs shape gene regulatory networks and how genetic variation in these programs links to human disease. Trained with a PhD in Bioinformatics, he combines computational rigor with wet-lab insight from a background in biotechnology to translate complex genomic signals into biologically interpretable models. Based in Canada, he has progressed from postdoctoral work at the University of Toronto to a faculty trajectory at McGill, where he leads interdisciplinary projects that bridge computational methods and molecular biology.
11 years of coding experience
6 years of employment as a software developer
Master of Science (M.Sc.), Medical Biotechnology, Master of Science (M.Sc.), Medical Biotechnology at University of Tehran
Doctor of Philosophy (Ph.D.), Bioinformatics, Doctor of Philosophy (Ph.D.), Bioinformatics at McGill University
Contributions:8 commits, 3 PRs, 2 pushes in 5 years 9 months
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