Vector Institute
Jacob Junqi Tian is an Associate Applied Machine Learning Specialist at the Vector Institute since February 2024, with a focus on memory-efficient techniques and resolving conflicts in machine learning models. Prior experience includes a Research Intern position at Mila - Quebec Artificial Intelligence Institute, applying Deep Learning and Natural Language Processing in social and political science. As a Software Developer at McGill University, Jacob maintained the BuddyApp for student mentorship. Previous roles at Vector Institute and McGill University involved building efficient fine-tuning pipelines for large language models and developing user-friendly tools for data mining. Jacob holds a Bachelor of Science in Mathematics and Computer Science from McGill University and has a strong educational background in the International Baccalaureate and High School studies from Fudan International School.
Vector Institute
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Vector Institute will be a leader in the transformative field of artificial intelligence, excelling in machine and deep learning — an area of scientific, academic, and commercial endeavor that will shape our world over the next generation. We are building on Canada’s outstanding pool of globally recognized AI expertise by training, attracting andretaining more top researchers who want to lead the world in machine learning and deep learning research, while having the flexibility to work on commercial applications with companies or in their own startups.