Zhaolong Yu
Senior Data Scientist - Research
New York City Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolZhaolong Yu is a Senior Data Scientist with 11 years of experience blending statistical rigor and machine learning for healthcare and advertising at institutions including Yale School of Medicine and Google. He holds advanced training in biomedical data science (Ph.D./M.S. from Yale) and has translated that expertise into production-scale ads modeling—pCTR, autobidding, and metrics ML—at Google. His background spans survival and outcome prediction, pharmacogenomics, and quantitative trading strategies, reflecting a rare mix of clinical, research, and financial ML experience. Comfortable in both R and web-focused data science workflows, he builds reproducible pipelines and tools to bridge research and product. Colleagues would note his ability to move complex kernel- and boosting-based statistical methods from academic prototypes into scalable, business-critical systems.
11 years of coding experience
8 years of employment as a software developer
Biotechnology/Data Science, Biotechnology/Data Science at Fudan UniversityJohns Hopkins UniversityDoctor of Philosophy (Ph.D.) Biomedical Data Science, Doctor of Philosophy (Ph.D.) Biomedical Data Science at Yale University
Github Skills (16)
imputation10
gene-expression10
single-cell-analysis10
bioinformatics9
computational-biology9
mining2
r-package2
machine-learning2
python2
text-mining2
data-mining2
data-visualization1
nlp1
visualization1
natural-language-processing1
Programming languages (4)
Github contributions (5)
Joker-Jerome/UTMOST
Dec 2017 - Aug 2019
UTMOST (unified test for molecular signatures) is a method for cross-tissue gene expression imputation for transcriptome-wide association analyses.
Contributions:124 commits, 45 pushes, 33 comments in 1 year 7 months
imputationsignaturesassociationanalysesgene-expression
Joker-Jerome/leetcode
May 2017 - Sep 2021
Contributions:41 pushes, 1 branch in 4 years 5 months
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