Zheng Gao

I work in the general field of Machine Learning, Data Science, and Statistics.

My inclination is applied. I develop and tune machine learning models for business applications. I also do analytical work. I wrote some web apps, enabling point-and-click data analyses.

I did some work on statistical theory, and wrote a book on it. It was published as a SpringerBrief; see below.

selected publications

SpringerBrief

Concentration of Maxima and Fundamental Limits in High-Dimensional Testing and Inference

Zheng Gao and Stilian Stoev

2021

Bib HTML

@book{gao2021concentration,
  title = {Concentration of Maxima and Fundamental Limits in High-Dimensional Testing and Inference},
  author = {Gao, Zheng and Stoev, Stilian},
  year = {2021},
  journal = {SpringerBriefs},
  publisher = {Springer},
}

Five shades of grey: Phase transitions in high-dimensional multiple testing

Zheng Gao

Preprint. Available at arXiv. Contents mostly rolled into the book., 2019

Bib HTML

@article{gao2019five,
  title = {Five shades of grey: Phase transitions in high-dimensional multiple testing},
  author = {Gao, Zheng},
  journal = {Preprint. Available at arXiv. Contents mostly rolled into the book.},
  url = {https://arxiv.org/abs/1910.05701v1},
  year = {2019},
}

Bioinformatics

U-PASS: unified power analysis and forensics for qualitative traits in genetic association studies

Zheng Gao, Jonathan Terhorst, Cristopher V Van Hout, and 1 more author

Bioinformatics, 2020

Bib HTML

@article{gao2020u,
  title = {U-PASS: unified power analysis and forensics for qualitative traits in genetic association studies},
  author = {Gao, Zheng and Terhorst, Jonathan and Van Hout, Cristopher V and Stoev, Stilian},
  journal = {Bioinformatics},
  volume = {36},
  number = {3},
  pages = {974--975},
  year = {2020},
  publisher = {Oxford University Press},
}