Lei Deng
Assistant Professor at University of Washington
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolLei Deng is an Assistant Professor jointly appointed at the University of Washington and Fred Hutchinson Cancer Center, specializing in clinical and translational research for non-small cell lung cancer. With 11 years of experience spanning residency, oncology fellowship, and academic research, he focuses on perioperative systemic therapies and biomarker-driven strategies to improve surgical outcomes. His background includes translational work on tumor radiotherapy and vasculature from a visiting scholar stint at Stanford and leadership founding oncology education and research programs in China. Lei blends clinical practice with rigorous research, aiming to translate biomarker insights into perioperative treatment decisions that change standard care.
11 years of coding experience
Clinical Medicine (Eight-year program), Clinical Medicine (Eight-year program) at Sichuan UniversityThe Chinese University of Hong Kong (CUHK)
Chinese, English
Github Skills (13)
rna-seq9
java7
gbm7
xgboost7
distributed-systems7
machine-learning7
spark7
hadoop6
python6
dataflow6
dask6
scala6
gradient-boosting5
Programming languages (2)
Github contributions (2)
RGLab/RNASeqPipelineR
Dec 2014 - Aug 2015
Streamline the processing of RNASeq data
Contributions:13 commits, 11 pushes, 4 branches in 8 months
rna-seq
dmlc/xgboost
Jul 2017 - Aug 2017
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Contributions:1 comment, 2 issues in 3 days
daskdataflowgbmgradient-boostinghadoop
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