Hossein Sharifi-Noghabi is a Machine Learning Researcher and Applied Scientist with over seven years of experience translating cutting-edge AI research into real-world impact across financial services and pharmaceutical domains. Currently at RBC Borealis in Vancouver where he works on efficient models for financial services with various publications at top-tier venues such as ICML and TMLR as well as top-tier workshops. Previously at Novartis and the Princess Margaret Cancer Centre, he developed advanced deep learning and metric learning approaches for drug response prediction, batch effect correction, and cross-dataset generalization. He holds a PhD in Computer Science from Simon Fraser University, where his research on transfer learning and multi-modal representation learning for precision medicine led to publications in top-tier venues including Nature Machine Intelligence, KDD, and ISMB.
Employment
Machine Learning Researcher, October 2022-Present
- RBC Borealis (Vancouver, Canada).
AI4Life Resident, Sep 2021-Sep 2022
- Data42, Novartis (Basel, Switzerland).
Admin Support (Research), June 2020-May 2021
- Princess Margarent Cancer Centre, University Health Network (Toronto, Canada).
Education
Ph.D. in Computer Science, Sep 2016-Sep 2021
- Simon Fraser University, Burnaby, BC, Canada.
M.Sc. in Artificial Intelligence, Sep 2012-Feb 2015
- Ferdowsi University of Mashhad, Iran.
B.E. in Information Technology, Sep 2008-Aug 2012
- Sadjad University of Technology (former Sadjad Institute of Higher Education), Mashhad, Iran.