Jaspreet Sahota
About Jaspreet Sahota
Jaspreet Sahota is a Machine Learning Researcher at Borealis Ai in Toronto, Ontario, Canada, with a focus on time series analysis and hyper-parameter optimization. He has a strong academic background, holding multiple degrees from the University of Toronto, including a Doctorate in Physics.
Work at Borealis AI
Jaspreet Sahota has been employed at Borealis AI as a Machine Learning Researcher since 2018. In this role, he focuses on developing advanced machine learning models and conducting research that contributes to the company's initiatives in artificial intelligence. His work involves applying his expertise in time series analysis and hyper-parameter optimization to enhance the performance of machine learning systems.
Previous Experience at Qubitel
Before joining Borealis AI, Jaspreet Sahota served as a Senior Data Scientist and Co-founder at Qubitel from 2016 to 2018. During his time there, he contributed to the development of data-driven solutions and leveraged his skills in data analysis and machine learning to support the company's objectives.
Education and Expertise
Jaspreet Sahota holds a Master of Science in Physics from the University of Toronto, which he completed in 2012. He also earned a Doctor of Philosophy in Physics from the same institution, graduating in 2017. His academic background includes a Bachelor of Science in Mathematics and Physics, obtained in 2011. His research expertise includes time series analysis using novel RNN architectures and hyper-parameter optimization for machine learning models.
Academic Roles at University of Toronto
Jaspreet Sahota has held multiple academic positions at the University of Toronto. He worked as a Teaching Assistant from 2009 to 2014, where he supported undergraduate students in their studies. He also served as an Academic Don at Trinity College from 2012 to 2014, providing guidance and mentorship to students. Additionally, he was an Appointed Member of the Academic Board at the Office of the Governing Council from 2016 to 2017.
Research Contributions
Jaspreet Sahota conducts original research in quantum information theory and quantum computing. His work in this area contributes to the understanding of complex quantum systems and their applications in computing. This research aligns with his broader interests in machine learning and data science.