Yang Feng

Associate Professor of Biostatistics

New York University


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 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 Journal of the American Statistical Association, 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.


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


  • PhD in Operations Research, 2010

    Princeton University

  • BS in Mathematics, 2006

    University of Science and Technology of China (USTC)

Recent Publications and Manuscripts

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The Interplay of Demographic Variables and Social Distancing Scores in Deep Prediction of US COVID-19 Cases

With the severity of the COVID-19 outbreak, we characterize the nature of the growth trajectories of counties in the United States …

Spectral clustering via adaptive layer aggregation for multi-layer networks

One of the fundamental problems in network analysis is detecting community structure in multi-layer networks, of which each layer …

Analytical performance of lateral flow immunoassay for SARS-CoV-2 exposure screening on venous and capillary blood samples

Objectives: We validate the use of a lateral flow immunoassay (LFI) intended for rapid screening and qualitative detection of …

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 …

Recent Posts

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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

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Meet the Team

Principal Investigator


Yang Feng

Associate Professor of Biostatistics

Grad Students


Kehang Li

Grad Student


Amy Ma

Grad Student


Ye Tian

Grad Student


Summer Yang

Grad Student

PhD Alumni


Sihan Huang (2020)

Quantitative Researcher


Diego Franco Saldana (2016)

Senior Data Scientist


Haolei Weng (2017)

Assistant Professor of Statistics


Kashif Yousuf (2019)

Data Scientist