Xi Wang - Graduate Research Assistant

Xi Wang

Graduate Research Assistant

Baltimore, Maryland, United States

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Summary

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Rockstar

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Top School

Xi Wang is a health outcomes researcher and biostatistician with nine years of experience applying advanced SAS and R programming to large EHR and Medicare claims datasets. Currently pursuing a PhD in Epidemiology at Johns Hopkins while serving as a graduate research assistant, Xi has led complex longitudinal and survival analyses to inform quality measures for millions of ESRD patients and pandemic-era hospitalization studies. A Certified Clinical Trials SAS Programmer and former senior analyst at the University of Michigan, Xi combines rapid-turnaround project delivery with cross-disciplinary collaboration among clinicians, statisticians, and policy researchers. Xi also contributes to open-source machine learning infrastructure—implementing NumPy-style random functions in the widely used Apache MXNet—bringing a rare mix of biostatistics and back-end coding expertise. Colleagues rely on Xi for rigorous data processing, reproducible analytic pipelines, and mentorship of junior analysts. Based in Baltimore, Xi blends clinical research training with practical engineering skills to translate complex real-world evidence into actionable insights.

9 years of coding experience

7 years of employment as a software developer

Master's degree, Veterinary Preventive Medicine, Epidemiology, and Public Health, Master's degree, Veterinary Preventive Medicine, Epidemiology, and Public Health at University of Michigan

Doctor of Philosophy - PhD, Epidemiology, Doctor of Philosophy - PhD, Epidemiology at Johns Hopkins Bloomberg School of Public Health

Bachelor's degree, Biology/Biological Sciences, General, Bachelor's degree, Biology/Biological Sciences, General at Shandong University

English, Chinese, French

Github Skills (7)

randomization10

mxnet10

python10

numpy10

testing9

cprogramming-language9

c-language9

Programming languages (5)

C++JavaScriptStanJupyter NotebookPython

Github contributions (5)

apache/mxnet

Aug 2019 - Aug 2020

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

Role in this project:

Back-end Developer

Contributions:6 reviews, 31 commits, 43 PRs in 11 months

Contributions summary:Xi primarily contributed to the implementation of NumPy-compatible random number generation functions within the MXNet framework. They implemented `randint`, `choice`, `normal`, `gamma`, `bernoulli`, and `randn` functions, integrating them into both the NDArray and Symbol interfaces. Their work involved adding the backend implementations, and creating the frontend interfaces and testing the newly implemented functions, demonstrating a strong focus on extending MXNet's numerical capabilities. Additionally, the user also made improvements to related files.

pythonschedulerdataflowmutationdata-science

xidulu/xidulu.github.io

Sep 2020 - Mar 2025

Contributions:5 pushes, 2 branches in 4 years 6 months

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