Xiao Zhang
Postdoctoral Researcher at Tsinghua University
Pittsburgh, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolXiao Zhang is a postdoctoral researcher and quantitative epidemiologist with nine years of experience translating complex biomedical and genetic data into actionable public health insights. Trained in nutritional and cardiovascular epidemiology (PhD, Univ. of Pittsburgh) and certified as an advanced SAS programmer, she designs and implements advanced models—from marginal structural causal inference to joint longitudinal-survival models—to improve risk prediction and causal interpretation. Her work spans academia, industry, and clinical research, including improving multi-ancestry colocalization algorithms at GSK and developing an online mortality-risk calculator for aging research at the Pepper Center. Based in Pittsburgh, she pairs deep statistical rigor with practical tooling in R, SAS, and Stata, and often combines machine learning with doubly robust causal methods to reduce bias in real-world analyses. Notably, she has led projects that both quantify aging mechanisms through blood biomarkers and demonstrate how serial functional measures (gait speed) enhance dynamic mortality prediction.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Medicine, Public Health, Bachelor of Medicine, Public Health at TongJi Medical College of HUSTDoctor of Philosophy - PhD, Epidemiology, Doctor of Philosophy - PhD, Epidemiology at University of PittsburghMaster of Science - MS, Nutritional Epidemiology, Master of Science - MS, Nutritional Epidemiology at University of North Carolina at Chapel Hill
Chinese, English
Github Skills (10)
dac5
codec5
audio-representation5
computer-vision5
pytorch4
semantic4
faster-rcnn3
text-to-speech3
parser1
math1
Programming languages (2)
Github contributions (5)
zhangxd12/Lfw_face_recognition_svm_ensemble
Apr 2017 - Apr 2017
Contributions:13 commits, 12 pushes, 1 branch in 1 day
zhangxd12/Baidu-dog
Nov 2024 - Nov 2024
Contributions:2 pushes in 1 day
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