Ke Hu is a PhD student in Statistics at the University of Illinois Urbana-Champaign and a Graduate Teaching Assistant with eight years of professional experience bridging academic research and industry. Previously a Technology Risk Consultant at EY and a research assistant at the University of Michigan, Ke combines applied statistical modeling with hands-on analytics consulting to solve real-world data problems. Their work at CSCAR and multiple university research roles reflects a focus on scalable computation and reproducible research practices. Based in Ann Arbor, Ke brings a pragmatic blend of teaching, research, and risk-aware technology experience that helps translate complex statistical methods into actionable insights.
8 years of coding experience
1 year of employment as a software developer
University of Michigan
Bachelor of Science - BS, Statistics, Bachelor of Science - BS, Statistics at Central University of Finance and Economics
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at University of Illinois Urbana-Champaign
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