Mahsa Keramati
About Mahsa Keramati
Mahsa Keramati is a Machine Learning Researcher currently working at Borealis AI and has been a Research Assistant at Simon Fraser University since 2018. She holds a PhD in Computer Science from Simon Fraser University and has a strong background in transfer learning and deep learning for time series analysis.
Work at Borealis AI
Mahsa Keramati currently holds the position of Machine Learning Researcher at Borealis AI, where she has been employed since 2024. Her work is conducted in a hybrid setting in Vancouver, British Columbia, Canada. Prior to this role, she worked at Borealis AI for four months in 2023. Her research at Borealis AI focuses on applying machine learning techniques to various domains.
Education and Expertise
Mahsa Keramati has an extensive educational background in computer science and engineering. She is pursuing a Doctor of Philosophy (PhD) in Computer Science at Simon Fraser University, expected to be completed in 2024. She obtained her Master's degree in Computer Engineering from the University of Tehran, where she studied from 2014 to 2016. Additionally, she earned her Bachelor's degree in Computer Engineering from the same institution, completing her studies from 2009 to 2013.
Background
Mahsa Keramati has a solid foundation in research and academia. She served as a Research Assistant at the University of Tehran from 2014 to 2018, where she contributed to various research projects. Since 2018, she has been a Research Assistant at Simon Fraser University in Burnaby, British Columbia, Canada, accumulating six years of experience in this role.
Research Interests
Mahsa Keramati's research interests lie in transfer learning and deep learning, particularly in the context of time series analysis. She focuses on developing domain adaptation techniques aimed at mining healthcare trajectories. Her work aims to enhance the understanding and application of machine learning in healthcare settings.