Bayesian Statistics: Techniques and Models
Apr 2026Coursera
Focus on applied Bayesian modeling techniques and practical model interpretation.
Full-stack developer, designer, and creative technologist passionate about building beautiful, functional digital experiences.
I’m a full-stack developer who likes thinking in systems. I love building things end-to-end, especially when the problem is messy and needs both good architecture and practical execution.
A lot of my work and interests live at the intersection of sports, analytics, and game design. I’m especially into baseball, F1, and soccer, and I enjoy working on projects where data can actually improve decisions and performance. I pick things up quickly, I’m happy to jump into whatever needs to get done, and I like helping teams move forward when things get complex.
Outside of work, I’m usually thinking about game design, playing hockey, writing D&D campaigns, or posting about movies and sports. I’m always open to new opportunities in sports where I can build useful systems and work on meaningful problems.
Toronto Blue Jays
Aga Khan Youth and Sports Board
Shopify
VL Omni
University of Waterloo
Computer Science
Robert Bateman High School
International Baccalaureate (IB)
Coursera
Focus on applied Bayesian modeling techniques and practical model interpretation.
Coursera
Focus on Describing & Applying the Bayesian Approach to Statistics
Core tools and technologies I use most often.
I'm always interested in hearing about new projects and opportunities. Feel free to reach out if you'd like to collaborate!
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