Emma Jingfei Zhang

Assoc. Professor

Phone:
(305) 284-6595
Locator Code:
6544

 
Career

Education

2014Ph.D. Statistics, University of Illinois at Urbana-Champaign
2009B.S. Mathematics, Nankai University

Professional Experience

2020 - Associate Professor, Management Science , Miami Herbert Business School
2014 - 2020Assistant Professor, Management Science, Miami Herbert Business School
2009 - 2014Course Instructor, University of Illinois at Urbana-Champaign

Honors & Acknowledgements

Emerging Scholar Award, Miami Herbert Business School, 2020
Collaborative Research Initiative for the Frost Institute for Chemistry and Molecular Science (CRI-FICMS), 2018
University of Miami Provost Award, 2015, 2016
Norton Prize for Outstanding Thesis in Statistics, 2013
IMS/Laha Travel Award, 2013
Research

LIST OF SPECIALTIES: Statistical machine learning, network data analysis, matrix/tensor data analysis and point process models with applications in business, social sciences, and biology.

Publications

Wang, J.*, Zhang, J.*, Liu, B., Guo, J. and Zhu, J. Fast Network Community Detection with Profile-Pseudo Likelihood Methods (Journal of the American Statistical Association. to appear).

SUMMARY: (*joint first authorship)

Zhou, J., Sun, W.W., Zhang, J. and Li, L. Partially Observed Dynamic Tensor Response Regression (Journal of the American Statistical Association. to appear).


Hu, J.*, Zhang, J.*, Qin, H., Yan, T., and Zhu, J. Using Maximum Entry-Wise Deviation to Test the Goodness-of-Fit for Stochastic Block Models (Journal of the American Statistical Association. to appear).


Hao, B., Wang, B., Wang, P., Zhang, J., Yang, J. and Sun, W.W. Sparse Tensor Additive Regression 22(64), 1-43 (Journal of Machine Learning Research. 2021).

SUMMARY: *joint first authorship

Zhang, J., Sun, W. and Li, L. Mixed-Effect Time-Varying Network Model and Application in Brain Connectivity Analysis 532, 2022-2036 (Journal of the American Statistical Association. 2020).


Xu, G., Wang, M., Bian, J., Burch, B., Andrade, S., Huang, H., Zhang, J. and Guan, Y. Semi-Parametric Learning of Structured Temporal Point Processes 21(192), 1−39 (Journal of Machine Learning Research. 2020).


Zhang, J. and Cao, J. Finding Common Modules in a Time-Varying Network with Application to the Drosophila Melanogaster Gene Regulation Network 112, 994-1008 (Journal of the American Statistical Association. 2017).


Deng, C., Guan, Y., Waagepetersen, R. and Zhang, J. Second-order Quasi-likelihood for Spatial Point Processes 73, 1311-1320 (Biometrics. 2017).


Zhang, J. and Chen, Y. Sampling for Conditional Inference on Network Data 108, 1295-1307 (Journal of the American Statistical Association. 2013).

SUMMARY: Student paper competition winner 2012, ASA Sections on Statistical Computing and Statistical Graphics.