Applied Math & Computer Engineering Student
Hi, I'm Jackson Moores
Queen's University student studying Applied Mathematics and Computer Engineering. I'm interested in quantitative finance, algorithmic trading, and building software that solves real-world engineering problems.
About Me
I'm a student at Queen's University studying Applied Mathematics and Computer Engineering, graduating in May 2027. My interests lie at the intersection of quantitative finance, algorithmic trading, and data analysis — I enjoy turning complex mathematical ideas into working software.
As a project manager with QUANTT, I lead a pairs trading research team exploring statistical arbitrage strategies. I've also built engineering projects ranging from UAV wildfire containment algorithms to autonomous rover navigation, and competed in hackathons like QHacks.
Technologies I work with
Projects
Derivative Modelling
Implementing Breeden-Litzenberger extraction to reconstruct market-implied probability distributions from option chains. Builds risk-neutral density surfaces for derivative pricing and risk analysis.
Wildfire Containment Algorithm
UAV coordination algorithm for wildfire containment using Lloyd's algorithm to optimize coverage zones. Simulates multi-drone deployment for efficient area partitioning and real-time fire boundary tracking.
Autonomous Mars Rover
Navigation algorithm using LiDAR sensor data to detect and avoid obstacles in unstructured terrain. Processes point cloud data for real-time pathfinding and autonomous decision-making.
HomeSafe
AI-based safety-first route optimizer that uses crime and environmental data to recommend the safest walking paths. Built at QHacks 2024, placing 6th overall.
Get in Touch
I'm always open to new opportunities and interesting projects. Feel free to reach out if you'd like to work together.