Faculty
- Sijian Wang
- Associate Professor & MSDS/FSRM Co-Director
- Ph.D. University of Michigan
- Email:
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- Website:
https://sites.rutgers.edu/sijian-wang/
- Specialty / Research Area:
Teaching and research in Big-data analytics, statistical learning, proteomics, cancer genomics, precision medicine, bioinformatics, high-performance statistical computing, survival data analysis, longitudinal data analysis and statistical modeling.
- Cun-Hui Zhang
- Distinguished Professor & MSDS/FSRM Co-Director
- Ph.D. Columbia University
- Office:
Hill 569
- Email:
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- Administrator Email:
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- Phone:
(848) 445-7685
- Website:
https://www.stat.rutgers.edu/people-pages/faculty/people/376-cun-hui-zhang
- Specialty / Research Area:
Teaching and research in high dimentional data, empirical Bayes, functional MRI, network data, semiparametric and nonparametric methods, survival analysis, statistical inference and probability theory. Fellow: IMS, ASA.
- Minge Xie
- Professor and Director, Office of Statistical Consulting
- Ph.D. Univ. of Illinois at Urbana-Champaign
- Office:
Hill 565
- Email:
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- Phone:
(848) 445-7683
- Website:
https://www.stat.rutgers.edu/people-pages/faculty/people/379-minge-xie
- Specialty / Research Area:
Teaching and research in statistical models, inference, asymptotics, and interdisciplinary research. Fellow: ASA, ISI
- Han Xiao
- Assistant Professor
- Ph.D. The University of Chicago
- Office:
Hill 451
- Email:
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- Phone:
(848) 445-7640
- Website:
https://statweb.rutgers.edu/hxiao/
- Specialty / Research Area:
Teaching and research in nonstationary and nonlinear time series, high dimensional analysis, algebraic statistics, and random matrix theory.
- David E. Tyler
- Distinguished Professor
- Ph.D. Princeton
- Office:
Hill 567
- Email:
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- Phone:
(848) 445-7646
- Website:
https://statweb.rutgers.edu/dtyler/
- Specialty / Research Area:
Teaching and research in multivariate analysis, robust statistics, directional data, computer vision and time series. Associate Editor, J. Royal Statistical Society B, J. Statistical Planning and Inference. Fellow, IMS.
