Summary
Sixuan Lou is a PhD candidate in Mathematics at the University of Illinois Chicago with 12 years of combined experience in teaching and applied machine learning. As a graduate teaching assistant and former TA/grader at top universities, they blend deep theoretical training with practical pedagogy in complex analysis and programming languages. Sixuan interned in machine learning where they built a reproducible benchmark and deployment framework for open-source LLMs applied to text-to-SQL across finance, healthcare, mobility, and e-commerce. Comfortable moving between rigorous math and hands-on ML engineering, they specialize in designing datasets, iterative prompt augmentation, and evaluation pipelines for real-world use cases. Based in Chicago, Sixuan brings a rare mix of academic depth from Cambridge and UChicago and production-focused ML experience rooted in a computer science foundation from the University of Washington.
12 years of coding experience
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at University of Washington
Master's degree, Mathematics, Master's degree, Mathematics at University of Cambridge
Doctor of Philosophy - PhD, Mathematics, Doctor of Philosophy - PhD, Mathematics at University of Illinois Chicago
English, Chinese, Japanese