Hossein Sharifi-noghabi
Senior Machine Learning Researcher at RBC Borealis
Vancouver, British Columbia, Canada
Summary
👤
Senior🎓
Top SchoolHossein Sharifi-noghabi is a Senior Machine Learning Researcher with nine years of experience applying advanced ML to biomedical and financial problems, currently at RBC Borealis after a PhD in Computer Science at Simon Fraser University. He has a strong track record of translating research into practice—five top-tier publications, multiple industry collaborations (Novartis, Princess Margaret, Decipher), and production-ready implementations in Python, PyTorch, PySpark and R. His research improved drug response and clinical prediction accuracy through multi-modal representation learning, transfer learning, and semi-supervised domain generalization, with measured gains over state-of-the-art methods. Comfortable bridging diverse teams, he mentors junior researchers and collaborates with life scientists and clinicians to deliver impactful solutions. A lifelong learner with a dozen-plus online certificates, he also brings practical experience in workflow tools (Slurm, Git, Bash) and a habit of turning complex biomedical datasets into actionable models.
9 years of coding experience
8 years of employment as a software developer
Bachelor's degree, Information Technology, Bachelor's degree, Information Technology at Sadjad UniversityMaster's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at Ferdowsi University of MashhadDoctor of Philosophy, Computer Science, Bioinformatics, and Computational Biology, Doctor of Philosophy, Computer Science, Bioinformatics, and Computational Biology at Simon Fraser University
English
Github Skills (10)
loss-balancing10
bioinformatics8
semi-supervised-learning8
multi-task-learning7
pytorch5
transfer-learning4
deep-neural-networks4
tensorflow4
generalization3
semantic2
Programming languages (2)
Github contributions (5)
hosseinshn/hosseinshn.github.io
Sep 2018 - Feb 2026
:sparkles: Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll
Contributions:121 pushes in 7 years 6 months
simple-websitebeautiful-jekylljekylljekyll-thememinutes
hosseinshn/MOLI
Jan 2019 - Sep 2020
MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction
Contributions:36 commits, 9 pushes, 1 comment in 1 year 8 months
deep-neural-networks
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