Summary
Xiaorui Zhu is a research scientist and assistant professor with 12 years of experience applying statistical methods, time-series analysis, and machine learning to business analytics and finance. He blends academic rigor—evidenced by a Ph.D. in Business Analytics and a published adaptive QMLE for GARCH models—with practical analytics work for industry clients and higher-education research projects. Skilled in R, Python, and SAS, he has built extensive custom tooling (hundreds of R functions and large-scale Monte Carlo simulations) to accelerate model development and text-mining workflows. His cross-disciplinary background in finance and applied statistics enables him to translate complex models into actionable financial and marketing insights. Based in Towson, Maryland, he is driven to turn quantitative research into public-benefiting applications and classroom impact. A not-obvious strength: he has repeatedly improved estimation efficiency without relying on strict distributional assumptions, showing a penchant for robust, pragmatic solutions.
12 years of coding experience
9 years of employment as a software developer
Master's degree, Finance, Master's degree, Finance at Penn State University
Master's Degree, Applied Statistics, 4.0, Master's Degree, Applied Statistics, 4.0 at Beijing University of Technology
coursera
Doctor of Philosophy (Ph.D.), Business Analytics, Doctor of Philosophy (Ph.D.), Business Analytics at University of Cincinnati College of Business
Bachelor's Degree, Statistics, 3.6, Bachelor's Degree, Statistics, 3.6 at Capital University of Economics and Business
English, Chinese