A student and AI researcher with a background in mathematics, robotics, and optimization. I build systems that learn, adapt, and (sometimes) surprise me — from autonomous forklifts to generative toys.
I am currently completing a Bachelor of Science at the University of Waterloo, majoring in Computational Mathematics, Statistics, and Mathematical Optimization, with minors in Computer Science and Economics. In Fall 2025, I will begin my Master of Science in Artificial Intelligence at Carnegie Mellon University.
Triple major:
Computational Mathematics
Statistics
Mathematical Optimization - OR Specialization
Minors:
Computer Science
Economics
An interdisciplinary program focused on strategic AI deployment, leadership, and innovation across emerging tech industries.
I redesigned simulation environments in 3D using Unreal Engine and ROS, optimized navigation algorithms for autonomous forklifts, and contributed to localization, mapping, and CI automation.
I explored the use of machine learning in general relativity, applying neural networks and reinforcement learning to problems involving Einstein’s field equations.
I conducted research on continual learning with diffusion models, introducing hybrid methods to improve adaptability and memory retention in neural networks.
I founded an AI-powered educational toy company, using diffusion models to personalize product design and launching a social program supporting local communities.
I developed automated tools to improve server monitoring and reliability, reducing downtime and enhancing client-side performance.
I worked on product testing and feature analysis, supporting R&D efforts with actionable insights for UI/UX and performance optimization.