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Yang Feng

Associate Professor of Biostatistics

New York University

Biography

Yang Feng is an associate professor of biostatistics in the School of Global Public Health at New York University.

Feng focuses on developing and applying machine learning methods in public health, high-dimensional data analysis, network models, nonparametric and semiparametric methods, and bioinformatics. He also leads the Feng Lab.

He is currently an associate editor for Journal of Business & Economic Statistics, Statistica Sinica, Stat, and Statistical Analysis and Data Mining: The ASA Data Science Journal.

His research is partially supported by NSF CAREER Grant DMS-2013789 and NSF Grant 2034022.

My Google Scholar Page ( By Year)

My Math Genealogy Graph

Open Positions and Opportunities:

  • Research Assistant:

Feng Lab is continously looking for talents at undergraduate, master and Ph.D. level. If you are interested, please submit an application at https://bit.ly/2KMEflH.

Interests

  • Machine learning in public health
  • High-dimensional statistics
  • Network models
  • Nonparametric and semiparametric methods
  • Bioinformatics

Education

  • PhD in Operations Research, 2010

    Princeton University

  • BS in Mathematics, 2006

    University of Science and Technology of China (USTC)

Recent Publications and Manuscripts

Quickly discover relevant content by filtering publications.

RaSE: Random Subspace Ensemble Classification

We propose a new model-free ensemble classification framework, Random Subspace Ensemble (RaSE), for sparse classification. In the RaSE …

Imbalanced classification: an objective-oriented review

A common issue for classification in scientific research and industry is theexistence of imbalanced classes. When sample sizes of …

Nested Model Averaging on Solution Path for High-dimensional Linear Regression

We study the nested model averaging method on the solution path for a high-dimensional linear regression problem. In particular, we …

On the estimation of correlation in a binary sequence model

We consider a probit model without covariates, but the latent Gaussian variables having compound symmetry covariance structure with a …

Recent Posts

Using NYU hpc Server

Tips on Using the NYU HPC server

visualization on nyu hpcserver

Visualization

Teaching Using Zoom and Ipad Pencil

This semester I am teaching Linear Regression Model for a class of around 150 students. As the classroom is very large, it is …

Using Python 3 in Virtualenv

Install Python 3 along with Python 2

Meet the Team

Principal Investigator

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Yang Feng

Associate Professor of Biostatistics

Grad Students

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Kehang Li

Grad Student

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Amy Ma

Grad Student

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Ye Tian

Grad Student

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Summer Yang

Grad Student

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Jianan Zhu

Grad Student

PhD Alumni

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Sihan Huang (2020)

Quantitative Researcher

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Diego Franco Saldana (2016)

Senior Data Scientist

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Haolei Weng (2017)

Assistant Professor of Statistics

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Kashif Yousuf (2019)

Data Scientist

Contact

  • 715 Broadway, New York, NY 10003