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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 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)