Carnegie Mellon University

Siyuan Li

Siyuan (Thomas) Li

Class of 2022

Bio

Siyuan (Thomas) Li earned his Bachelor's degree from the University of Michigan in 2020 with triple majors in Mathematics, Statistics, and Data Science. He gained a solid foundation in mathematics methodologies, machine learning models, along with proficient programming skills during his undergraduate study. During his research, he utilized the Gaussian Mixture Model and the Expectation-Maximization (EM) algorithm to cluster a substantial amount of dataset and provided a powerful new algorithm with Bayesian statistical methods. While committed to achieving academic excellence, he has also sought out opportunities to apply his coursework in professional settings to gain valuable real-world experience. Thomas had several relevant internship experiences, covering asset management, data analytics, and quantitative trading strategy research, and greatly improved his communication skills during the internships. With a passion for quantitative finance, he joined the MSCF program to further enhance his keenly analytical skills and financial acumen. Upon completion of his graduate degree, Thomas intends to pursue a career as a quantitative strategist and financial data scientist.