Anthony Chou

At DA Capital, I help design and build real-time infrastructure for executing crypto trading strategies and backend infrastructure.

At the University of Michigan, I research podcast networks — analyzing how hosts and guests form dynamic social structures and influence flows using natural language processing and network science. Our work spans speaker modeling, prestige estimation, and longitudinal interaction graphs.

I love building backend systems that are clean, scalable, and intelligent. Whether optimizing a trading engine or analyzing social signals from language, I'm drawn to problems that require both precision and creativity.

Outside of engineering, I've spent serious time working through abstract math— like modern algebra and analysis — not because it's easy, but because learning to reason at a deep level helps me grow as both a thinker and builder.

This summer, I'm focusing on:

• Scaling my crypto strategy infrastructure
• Advancing my podcast guest network research
• Learning stochastic calculus and statistics for use in quantitative modeling

In the future, I hope to work at the intersection of backend infrastructure, quantitative development, and computational social science — building systems that generate real-world impact from rigorous design and thoughtful analysis.