University of Pennsylvania studying Mathematics and Computer Science. I specialize in building full-stack systems, probabilistic models, and the occasional passion project that keeps me up at night.
Tech and math have been part of my life for as long as I can remember. As a kid I was taking apart anything with a circuit board. By high school I was building computers and teaching myself to code. At 18, online poker led me to discover a vulnerability in a crypto casino's shuffling algorithm that created predictable patterns every few hundred hands. I taught myself to exploit it (ethically, of course), and was hired to help fix their system. Since then I've been obsessed with applying algorithmic reasoning through game theory, probabilistic thinking, and machine learning to real-world problems.
I'm excited by projects that are ambitious, creative, and technically challenging. I enjoy turning complex ideas into intuitive and functional digital experiences, whether it's a rough concept or a fully formed vision. When I'm not studying or coding, you'll find me at Penn Boxing, lifting, playing poker, or listening to some good music.
Coordinated 15 analysts in developing equity research reports and financial models across Technology and Industrials sectors.
Event Derivative Arbitrage on Kalshi, Polymarket.
Regulatory Alpha Extraction
Authored research reports on DeFi primitives, tokenomics, and blockchain integration into traditional finance infrastructure.
DoD AI Policy under Prof. M. Horowitz, Ph.D
GPU optimization & backend databases for Monte-Carlo simulation.
I'm currently working on projects in artificial intelligence and blockchain/Web3 technologies. My research interests include machine learning applications in tech, algorithmic trading strategies, and the mathematical foundations of cryptographic systems.
In the past, I've always found great success in collaborating and connecting with new people. I'd love to connect, so don't hesitate to reach out.
Resume will be sent upon request. Send me an email at thomasou@sas.upenn.edu