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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.

Info

  • Post-Doctoral Associate in Biostatistics:

The Department of Biostatistics at the NYU School of Global Public Health is seeking candidates with a Ph.D. in Statistics/Biostatistics, Computer Science, or related fields for an exciting full-time Post-Doctoral Associate position available beginning on July 1, 2022, working with Dr. Yang Feng.

The postdoc associate will work with Dr. Feng to:

  • Develop novel machine learning methods and their associate theory.
  • Apply existing and new machine learning methods to public health and medical data.
  • Develop companion software.

Please apply via Interfolio here.

He has published papers in Annals of Statistics, Annals of Applied Statistics, Biometrika, IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Royal Statistical Society Series B, Journal of the American Statistical Association, Journal of Machine Learning Research, Science Advances, Journal of Econometrics, Journal of Business & Economic Statistics, etc.

He is currently an associate editor for

His research is partially supported by

  • NSF CAREER Grant DMS-2013789: CAREER: Statistical inference of network and relational data
  • NSF Grant 2034022: RAPID: Behavioral Epidemic Modeling For COVID-19 Containment
  • NIH 1R21AG074205-01: Multiclass classification under prioritized error control and specific error costs with applications to dementia classification

My Google Scholar Page ( By Year)

My Math Genealogy Graph

Open Positions and Opportunities:

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.

Super RaSE: Super Random Subspace Ensemble Classification

We propose a new ensemble classification algorithm, named Super Random Subspace Ensemble (Super RaSE), to tackle the sparse …

Imbalanced classification: A paradigm-based review

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

Model Averaging for Nonlinear Regression Models

This paper considers the problem of model averaging for regression models that can be nonlinear in their parameters and variables. We …

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Meet the Team

Principal Investigator

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Yang Feng

Associate Professor of Biostatistics

Grad Students

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Jianan Zhu

Grad Student

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Ye Tian

Grad Student

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Yuyu (Ruby) Chen

Grad Student

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Yaojie Wang

Grad Student

PhD Alumni

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Kashif Yousuf

Data Scientist

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Haolei Weng

Assistant Professor

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Sihan Huang

Quantitative Researcher

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Diego Franco Saldana

Senior Data Scientist

Master Alumni

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Shizhan Gong (2021)

PhD Student

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Kehang Li (2021)

PhD Student

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Amy Ma (2021)

PhD Student

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Summer Yang (2021)

PhD Student

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