More About Me

Graduated from Queen's University with a specialization in Cognitive Science within the Faculty of Computing, a program that combined core computer science fundamentals with insights from linguistics and philosophy.

As Project Manager at the Queen’s Data Analytics Association (QDAA), I lead a technical team of five developers on an autonomous driving project utilizing computer vision. My role involves coordinating project tasks, overseeing development, and ensuring the successful delivery of insights to advance autonomous driving technology.

At Queen's Data Analytics Association (QDAA), I was a general member who attended meetings and participated in learning about data science.

As Head of Web Development for Project Red, I orchestrate our website's design, development, and upkeep. This website promotes events like the annual Charity Fashion Show and drives donations for the Heart & Stroke Foundation. Collaborating with other club executives, I help coordinate the implementation of features supporting our fundraising goals, ensuring our platform amplifies Project Red’s mission. Through continuous collaboration and strategic planning, I drive the technical success of our online platform, supporting Project Red’s mission to make a lasting impact.

As a Web Development Intern at Project Red, I redesigned their website from the ground up to boost awareness and donations for the Heart & Stroke Foundation. I also promoted important events, including the annual Charity Fashion Show, to widen participation. By implementing online fundraising tools, I helped us exceed our $200,000 fundraising goal for heart disease and stroke victims.

In QMIND, I contributed to Canada's largest undergraduate artificial intelligence and machine learning organization by creating solutions for understanding typed sentiment through ML and AI technologies. My team developed an innovative solution for a sentiment analysis natural language processing program by investigating high-level programming languages and researching use cases of multiple models.

At Queen's University Algorithmic and Network Trading Team (QUANTT), I worked on a team to develop an automated time-series day trading algorithm within quantitative finance using Quant-Connect, which made decisions based on time series data, volatility, and market-impacting news.

For the Computing Students Association, I led the computing orientation for incoming first-year students and hosted an interactive presentation for those interested in entering the cognitive science specialization.

For Queen's For Sustainable Fashion (QFSF), I was a student model (true story) who would participate in photoshoots to help promote sustainable fashion and minimize rampant consumerism.