Yang Feng
Yang Feng
Professor of Biostatistics
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Professional overview
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Yang Feng is a Professor and Ph.D. Program Director of Biostatistics in the School of Global Public Health and an affiliate faculty in the Center for Data Science at New York University. He obtained his Ph.D. in Operations Research at Princeton University in 2010.
Feng's research interests encompass the theoretical and methodological aspects of machine learning, high-dimensional statistics, social network models, and nonparametric statistics, leading to a wealth of practical applications, including Alzheimer's disease, cancer classification, and electronic health records. His research has been funded by multiple grants from the National Institutes of Health (NIH) and the National Science Foundation (NSF), notably the NSF CAREER Award.
He is currently an Associate Editor for the Journal of the American Statistical Association (JASA), the Journal of Business & Economic Statistics (JBES), Journal of Computational & Graphical Statistics (JCGS), and the Annals of Applied Statistics (AoAS). His professional recognitions include being named a fellow of the American Statistical Association (ASA) and the Institute of Mathematical Statistics (IMS), as well as an elected member of the International Statistical Institute (ISI).
Please visit Dr. Yang Feng's website and Google Scholar page from more information.
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Education
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B.S. in Mathematics, University of Science and Technology of China, Hefei, ChinaPh.D. in Operations Research, Princeton University, Princeton, NJ
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Areas of research and study
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BioinformaticsBiostatisticsHigh-dimensional data analysis/integrationMachine learningModeling Social and Behavioral DynamicsNonparametric statistics
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Publications
Publications
Clinical, Pathological, and Molecular Characteristics of Diffuse Spinal Cord Gliomas
Failed retrieving data.Community detection with nodal information : Likelihood and its variational approximation
Failed retrieving data.Differential Role of Hyperglycemia on Survival in IDH-wildtype Glioblastoma Subclasses
Failed retrieving data.Discussion of “Cocitation and Coauthorship Networks of Statisticians”
Failed retrieving data.Large-scale model selection in misspecified generalized linear models
Failed retrieving data.Model Averaging for Nonlinear Regression Models
Failed retrieving data.Spectral clustering via adaptive layer aggregation for multi-layer networks
Failed retrieving data.Targeting predictors via partial distance correlation with applications to financial forecasting
Failed retrieving data.Testing community structure for hypergraphs
Failed retrieving data.Unsupervised Multi-task and Transfer Learning on Gaussian Mixture Models
Failed retrieving data.A demonstration of the RaSEn package
Failed retrieving data.Analytical performance of lateral flow immunoassay for SARS-CoV-2 exposure screening on venous and capillary blood samples
Failed retrieving data.Association of body composition parameters measured on CT with risk of hospitalization in patients with Covid-19
Failed retrieving data.Comparison of solid tissue sequencing and liquid biopsy accuracy in identification of clinically relevant gene mutations and rearrangements in lung adenocarcinomas
Failed retrieving data.Imbalanced classification: A paradigm-based review
Failed retrieving data.Mediation effect selection in high-dimensional and compositional microbiome data
Failed retrieving data.NCOG-11. ASSOCIATION OF HYPERGLYCEMIA AND TUMOR SUBCLASS ON SURVIVAL IN IDH-WILDTYPE GLIOBLASTOMA
Failed retrieving data.Neyman-Pearson Multi-class Classification via Cost-sensitive Learning
Failed retrieving data.RaSE: A Variable Screening Framework via Random Subspace Ensembles
Failed retrieving data.RaSE: Random Subspace Ensemble Classification
Failed retrieving data.Super RaSE: Super Random Subspace Ensemble Classification
Failed retrieving data.Targeted crisis risk control: A neyman-pearson approach
Failed retrieving data.The Interplay of Demographic Variables and Social Distancing Scores in Deep Prediction of US COVID-19 Cases
Failed retrieving data.Visceral adipose tissue in patients with COVID-19: risk stratification for severity
Failed retrieving data.A Projection Based Conditional Dependence Measure with Applications to High-dimensional Undirected Graphical Models
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