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.
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.
Please visit here to learn more about the workshop.
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
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:
Please apply via Interfolio here.
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.
PhD in Operations Research, 2010
BS in Mathematics, 2006
University of Science and Technology of China (USTC)