I study applied mathematics and computer engineering at Queen's University. I'm from Toronto.
Interests
- Data and finance. Using data, statistics, and machine learning to understand markets and risk.
- Macroeconomics and markets. Policy, trade, and asset pricing. A few papers I return to:
- Harvey et al., inflation hedging across asset classes over 95 years of data
- Baltussen et al., whether carry, momentum, and value premiums survive 200 years of data
- Bretscher et al., how fiscal policy and government debt transmit into bond risk premia
- Capital and clients. How individuals and institutions allocate, preserve, and grow capital over time, and the relationships that sit behind it.
- Pure mathematics. The probability, linear algebra, and optimization that statistical and machine learning models are built on.
- Computer architecture. Hardware design and the systems beneath the software.
- Teaching. Tutored mathematics and computer science at Nick's Methods.
Elsewhere
Experience
- NSERC Undergraduate Student Research Award. Summer research using machine learning and large-scale computation to find patterns in pure mathematics, and building open-source tools to pioneer AI workflows for mathematical research, with Profs. Dimitrov, Paquette, and Wehlau in Queen's Mathematics and Statistics.
Summer 2026 - Director of Capital at QUBE. Co-directing the Capital Team for Queen's undergraduate business and engineering club.
2026 - present
patrick@qubequeens.com / qubequeens.com - Trading at WLT. Simulated equity trading.
2025 - Portfolio Manager at QUBE. Led a 4-analyst team managing a simulated sector portfolio.
2025 - 2026 - IT Support at IFG. Internal tech support at a financial services firm.
2023 - 2024