Jun Lu
Senior Biostatistician
New Jersey, United States
Summary
🤩
Rockstar🎓
Top SchoolJun Lu is a Senior Biostatistician with 11 years of quantitative experience, specializing in late-stage oncology and advanced clinical trial design. Holding a PhD from University of Illinois Chicago and an MS from Columbia, Jun combines rigorous academic training with hands-on industry experience at Daiichi Sankyo, Merck, AstraZeneca and Regeneron. He builds reproducible R and Python tools (including Shiny apps) to automate reporting and decision frameworks, and has developed novel 2-stage screening designs and group-sequential methodologies to improve trial consistency and efficiency. His work spans survival analysis, Bayesian approaches with external controls, propensity-based augmentation, and ML for clinical prediction, reflecting a rare blend of methodological innovation and applied implementation. Based in New Jersey, Jun also pursues design and Jekyll interests outside biostatistics, bringing an eye for reproducible, user-friendly analytical products.
11 years of coding experience
2 years of employment as a software developer
Foreign Student Exchange Program of Language and Culture, Foreign Student Exchange Program of Language and Culture at The University of ManchesterMaster of Science - MS, Biostatistics, 4.0/4.0, Master of Science - MS, Biostatistics, 4.0/4.0 at Columbia University in the City of New YorkDoctor of Philosophy - PhD, Biostatistics, 4.0/4.0, Doctor of Philosophy - PhD, Biostatistics, 4.0/4.0 at University of Illinois ChicagoForeign Student Exchange Program of Scientific Research, Foreign Student Exchange Program of Scientific Research at Purdue UniversityBachelor's degree, Animal Sciences, 3.7/4.0, Bachelor's degree, Animal Sciences, 3.7/4.0 at Zhejiang University
Github Skills (39)
python10
cv-template10
post10
eager10
bayesian-deep-learning10
svm-classifier10
utterances10
resume10
jekyll10
jekyll-theme10
theano10
mixture-model9
data-science9
caffe9
machine-learning9
Programming languages (6)
Github contributions (5)
cheerml/cheerml.github.io
Dec 2016 - Mar 2018
Contributions:32 commits, 30 pushes, 13 branches in 1 year 3 months
junlulocky/bayesian-deep-learning-notes
Nov 2017 - May 2018
A list of notes on Bayesian deep learning papers
Contributions:22 commits, 11 pushes in 5 months
notesdeep-learningmachine-learningbayesian-deep-learningdeep-learning-papers
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