Summary
Yuqiu Yang is a biostatistics PhD candidate and seasoned research analyst with nine years of experience applying statistical modeling and machine learning across energy, neurotech, and public health domains. Trained at Rice (M.S., Statistics) and now at SMU/UTSW, she combines strong programming skills in R, Python, and Spark with practical experience building data pipelines and signal-processing workflows. Her work has improved phoneme-level classification by 50% using HMMs and ML classifiers and distilled neural correlates of audio processing across brain regions. She has industry experience in the oil & energy sector and a track record of translating large, messy multi-center datasets into actionable models (e.g., SARIMA and GLM for COPD surveillance). Comfortable teaching and mentoring, she has graded and instructed statistics courses and led applied projects from survey design to hypothesis testing. Beyond conventional biostatistics, she brings a rare mix of domain breadth—financial math, public health, speech neuroscience, and energy analytics—that enables cross-disciplinary solutions.
9 years of coding experience