Bofan Ji is a first-year student at Carnegie Mellon University's Master of Science in Computational Finance (MSCF) program. Previously, he graduated Summa Cum Laude from Princeton University with a degree in Economics, alongside minors in Computer Science and Operations Research. He brings a wealth of experience building quantitative models and extracting high frequency alpha at InfiniteQuant, engineering data infrastructure at Circle, and conducting several award-winning quant research projects at Princeton. His academic background is rooted in statistical machine learning, financial mathematics, and data engineering, with career aspirations in trading and quantitative research. On the side, he harbors wide-ranging interests in poker, entrepreneurship, and crypto.