Finance × Statistics × AI
I’m Ross Toma, a University of Toronto student turning models, market ideas, and messy data into software that runs in the real world.
01 The thesis
I’m pursuing a BBA in Management & Finance and an Honours BSc in Statistics in the Quantitative Finance stream at U of T Scarborough.
Markets are probabilistic systems with human consequences. That combination pulls me toward quantitative trading, machine learning, and the craft of building tools that survive contact with real users—not just clean notebooks.
02 Selected work
A full-stack fitness and nutrition system my family uses every day. I took it from an idea to a production app with real accounts, data, infrastructure, and the unglamorous edge cases that make software trustworthy.
Python research tooling for prediction-market microstructure: reading live markets, testing statistical signals, and separating apparent edge from executable opportunity.
The Linux VPS, reverse proxies, APIs, deployment scripts, and monitoring behind my projects—including the site you’re looking at now.
03 Now
04 Connect