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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

  • 2022 Workshop on Statistical Network Analysis and Beyond:

Hosted by the GPH Department of Biostatistics from Wednesday, August 3 - Friday, August 5, 2022.

We are bringing together researchers on network analysis and beyond to exchange ideas and recent works for SNAB2022. The workshop will cover topics including analysis of social networks and biological networks, tensor analysis, and deep learning. Click here to learn more about the program and invited speakers.

Please visit here to learn more about the workshop and register. The registration deadline is July 21, 2022.

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  • 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 June 1 or Sep 1, 2022, working with Dr. Yang Feng and Dr. Rebecca Betensky.

The postdoc associate will work 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:

  • Research Assistant:

Feng Lab is continuously 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.

A likelihood-ratio type test for stochastic block models with bounded degrees

A fundamental problem in network data analysis is to test Erdos-Renyi model versus a bisection stochastic block model. This problem …

Community detection with nodal information: likelihood and its variational approximation

Community detection is one of the fundamental problems in the study of network data. Most existing community detection approaches only …

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 …

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 …

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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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Cong Wang

Grad Student

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Deron Tsai

Grad Student

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Fan Bi

Grad Student

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Jianan (Zoe) Zhu

Grad Student

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Yuyu (Ruby) Chen

Grad Student

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Ye Tian

Grad Student

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Yaojie Wang

Grad Student

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Yawen (Sharon) Yuan

Grad Student

PhD Alumni

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Diego Franco Saldana

Senior Data Scientist

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Haolei Weng

Assistant Professor

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Kashif Yousuf

Data Scientist

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Sihan Huang

Quantitative Researcher

Master Alumni

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Amy Ma (2021)

PhD Student

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Kehang Li (2021)

PhD Student

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Shizhan Gong (2021)

PhD Student

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Summer Yang (2021)

PhD Student

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