Yik Chau (Kry) Lui
About Yik Chau (Kry) Lui
Yik Chau (Kry) Lui is a Senior Machine Learning Researcher at Borealis AI, specializing in the intersection of geometric inequalities and machine learning. He holds a Master of Science in Mathematics from the University of Toronto and has experience in developing neural network architectures and optimization techniques.
Work at Borealis AI
Yik Chau (Kry) Lui has been employed at Borealis AI as a Senior Machine Learning Researcher since 2016. In this role, he focuses on developing advanced machine learning models and algorithms. His research interests include low dimensional geometries and geometric inequalities, which are essential for various applications in machine learning. Lui's work contributes to the organization's goal of leveraging AI to solve complex business problems.
Education and Expertise
Yik Chau (Kry) Lui holds a Master of Science in Mathematics (M.Sc.) from the University of Toronto, where he studied Geometry, Analysis & Statistics from 2010 to 2011. He also earned a Bachelor of Science (B.Sc.) in Economics and Mathematics & Statistics from the same institution, completing his studies from 2005 to 2010. His educational background provides a strong foundation for his research in machine learning and optimization techniques.
Background
Before joining Borealis AI, Yik Chau (Kry) Lui worked as a Data Scientist and Machine Learning Specialist at MUSE ™ | The Brain Sensing Headband by Interaxon from 2015 to 2016. He also held a position as a Data Scientist at Cumulonimbus from 2014 to 2015. His experience in these roles allowed him to apply machine learning techniques in practical settings, enhancing his expertise in the field.
Research Interests
Yik Chau (Kry) Lui investigates the connections between geometric inequalities and various mathematical problems, including combinatorics, computational complexity, and dynamical systems. He explores dynamic aspects of machine learning, such as neural time series analysis and reinforcement learning. His research also delves into optimization techniques, including stochastic, accelerated, and adaptive algorithms, which are critical for improving machine learning models.
Engagement with Research Communities
Yik Chau (Kry) Lui actively engages with prominent research communities, including NeurIPS, ICML, and ICLR. His involvement in these communities reflects his commitment to advancing knowledge in machine learning and contributing to discussions on emerging trends and techniques. His interests also extend to game theoretic machine learning and learning theory beyond independent and identically distributed (IID) assumptions.