Hossein Sharifi Noghabi
About Hossein Sharifi Noghabi
Hossein Sharifi Noghabi is a Machine Learning Researcher at Borealis AI in Vancouver, Canada, with a strong background in applying machine learning to biomedical and financial domains. He holds a Ph.D. in Computer Science and has authored five publications in the field.
Work at Borealis AI
Hossein Sharifi Noghabi has been employed at Borealis AI as a Machine Learning Researcher since 2022. He is based in Vancouver, British Columbia, Canada. In this role, he focuses on applying machine learning techniques to address complex challenges in various domains.
Previous Experience in AI and Research
Before joining Borealis AI, Hossein worked at Novartis as an AI For Life Resident from 2021 to 2022 in Basel, Switzerland. He also served as a Research Assistant at Simon Fraser University from 2016 to 2021, where he contributed to various research projects. Additionally, he held positions at Princess Margaret Cancer Centre and Vancouver Prostate Centre, gaining valuable experience in research support and graduate-level research.
Education and Expertise
Hossein earned his Doctor of Philosophy in Computer Science from Simon Fraser University, specializing in Bioinformatics and Computational Biology, from 2016 to 2021. He also holds a Master's degree in Artificial Intelligence from Ferdowsi University of Mashhad and a Bachelor's degree in Information Technology from Sadjad University. His education has equipped him with a strong foundation in machine learning and its applications in biomedical and financial sectors.
Publications and Certifications
Hossein has authored five publications in top-tier journals, contributing to the field of machine learning. He has also completed over 12 online certificates in various topics, including deep learning and reinforcement learning, which enhance his expertise and knowledge in the field.
Technical Skills and Collaboration
With six years of experience, Hossein is proficient in programming languages and tools such as Python, R, Pytorch, and scikit-learn. He has demonstrated a strong ability to deploy these tools for real-world applications. His background includes extensive teamwork and collaboration with diverse groups, highlighting his capacity to work effectively in cross-functional settings.