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Hulin Wu, PhD

Hulin Wu, PhDDean's Professor of Biostatistics and Computational Biology

Professor of Medicine
Professor of Public Health Sciences
Director, Center for Integrative Bioinformatics and Experimental Mathematics
Director, Center for Biodefense Immune Modeling
Ph.D. (1994) Florida State University

Hulin Wu's Personal Website

Contact Information

University of Rochester
Dept of Biostatistics and Computational Biology
265 Crittenden Boulevard, CU 420630 
Rochester, New York 14642-0630
Office: Saunders Research Building 4132
Phone: (585) 275-6767
Fax: (585) 273-1031

Research Interests

My recent research interests include:

  • Biomedical Big Data Analytics: Complex high-dimensional data from high-throughput technologies.
  • Statistical Methods and Theories for Differential Equation Models.
  • Computational Systems Biology and Bioinformatics: Genetic and protein network and multi-scale modeling.
  • Immunological Data Analysis and Modeling: Modeling immune response to influenza and HIV infection.
  • Biomathematical Modeling: Clinical trial modeling and simulations, modeling HIV RNA/cellular dynamics, dynamic prediction of antiviral responses, and modeling AIDS epidemics.
  • Clinical Trials: Clinical trial design, pharmacokinetics and pharmacodynamics (PK/PD) study and Phase I trial design and modeling.
  • Longitudinal Data: Nonparametric regression methods and mixed-effects models.
  • Other Statistical Methodologies: High-dimensional variable selection, Markov chain Monte Carlo (MCMC), Bayesian methods, state-space models, measurement error models, missing data, and spatial statistics.

I received my college education in engineering from the National University of Defense Technology, P.R. China (B.Sc., 1984; M.Sc., 1987). I earned my Ph.D. in statistics from Florida State University in 1994. After two years as a visiting Assistant Professor at the University of Memphis (TN), I joined Frontier Science & Technology Research Foundation in 1996 as a Senior Statistician to work for Statistical Data Analysis Center (SDAC), currently Center for Biostatistics in AIDS Research (CBAR), Harvard School of Public Health, where I became involved in AIDS clinical trials and HIV dynamic modeling. I served as the Head of Pharmacology/Dynamic Modeling Section at SDAC, Adults AIDS Clinical Trials Group (AACTG) from 1999-2002. I also held an Adjunct Lecturership position at the Department of Biostatistics, Harvard University from 2000-2003. I joined the Department of Biostatistics and Computational Biology, University of Rochester as Professor in 2003.

Since 1998, I have been awarded four research grants to develop statistical methods and mathematical models for HIV dynamics and AIDS clinical trials by NIH. I have advised 9 postdoctoral research fellows from 1998-2005, and most of them obtained academic or research positions at major Universities or Research Institutes after completing their postdoctoral training. I am currently leading a group of faculty and postdoc fellows to work on several NIH-sponsored projects related to modeling of infectious diseases and immune response that include HIV/AIDS and influenza virus.

Recently I received a grant (contract) totaling $10 million over 5 years to establish a Center for Biodefense Immune Modeling (CBIM) where I serve as the Director. I also serve as Chief of the newly established Division of Biomedical Modeling and Informatics (DBMI) in the Department of Biostatistics and Computational Biology.

I received the First Prize Student Paper Award from the Statistics and the Environment Section, American Statistical Association in 1993; the ENAR Student Paper Award from the Eastern North American Region of the Biometrics Society (ENAR) in 1994; the Ralph A. Bradley Award from Department of Statistics, Florida State University in 1994; the Young Investigator Award from the Epidemiology Section, American Statistical Association in 1995; and the Young Scientist Scholarship Fund Award from the International Workshop on HIV Drug Resistance and Treatment Strategies in 1997 and 1998. I served as a grant review member for several AIDS and Related Research sections and special emphasis panels, National Institutes of Health (NIH). I also served as a consultant for other NIH grant review sections and the National Science Foundation (NSF).

Selected Publications

  • Wu, S, and Wu, H. (2013). More Powerful Significant Testing for Time Course Gene Expression Data Using Functional Principal Component Analysis Approaches, BMC Bioinformatics, 14:6. PMCID: PMC3617096
  • Wu, H., Lu, T., Xue, H., and Liang, H. (2013). Sparse Additive ODEs for Dynamic Gene Regulatory Network Modeling, Journal of the American Statistical Association, accepted. DOI:10.1080/01621459.2013.859617 Paper
  • Wu, S., Xue, H., Wu, Y., and Wu, H. (2013). Variable Selection for Sparse High-Dimensional Nonlinear Regression Models by Combining Nonnegative Garrote and Sure Independence Screening. Statistica Sinica, accepted, doi:10.5705/ss.2012.317. Preprint
  • Wu, H., Xue, H., and Kumar A. (2012). Numerical Discretization-Based Estimation Methods for Ordinary Differential Equation Models via Penalized Spline Smoothing with Applications in Biomedical Research. Biometrics, 68(2):344-52. PMCID: PMC3496749
  • Wu, H., Kumar, A., Miao, H., Holden-Wiltse, J., Mosmann, T.R., Livingstone, A.M., Belz, G.T., Perelson, A.S., Zand, M., and Topham, D.J. (2011). Modeling of Influenza-Specific CD8+ T Cells During the Primary Response Indicates that the Spleen Is a Major Source of Effectors. Journal of Immunology, 187, 4474-4482. PMCID: PMC3197949
  • Lu, T., Liang, H., Li, H., and Wu, H. (2011). High Dimensional ODEs Coupled with Mixed-Effects Modeling Techniques for Dynamic Gene Regulatory Network Identification. Journal of the American Statistical Association, 106:496 1242-1258. PMCID: PMC3507995
  • Miao, H., Xia, X., Perelson, A.S.,and Wu, H. (2011). On Identifiability of Nonlinear ODE Models and Applications in Viral Dynamics. SIAM Review, 53(1): 3-39. PMCID: PMC3140286
  • Liang, H., Miao, H., and Wu, H. (2010). Estimation of constant and time-varying dynamic parameters of HIV infection in a nonlinear differential equation model. Annals of Applied Statistics, 4, 460-483. PMCID: PMC2885820
  • Xue, H., Miao, H., and Wu, H. (2010). Sieve Estimation of Constant and Time-Varying Coefficients in Nonlinear Ordinary Differential Equation Models by Considering Both Numerical Error and Measurement Error. Annals of Statistics, 38(4), 2351-87.  PMCID: PMC2995285
  • Miao, H., Hollenbaugh, J.A., Zand, M., Holden-Wiltse, J., Mosmann, T.R., Perelson, A.S., Wu, H., and Topham, D.J. (2010). Quantifying the Early Immune Response and Adaptive Immune Response Kinetics in Mice Infected by Influenza A Virus.  Journal of Virology, 84, 6687-6698. PMCID: PMC2903284
  • Miao, H., Dykes, C., Demeter, L., and Wu, H. (2009). Differential Equation Modeling of HIV Viral Fitness Experiments: Model Identification, Model Selection, and Multi-Model Inference. Biometrics, 65, 292-300. PMCID: PMC2838508
  • Lee, H.Y., Topham, D.J., Park, S.Y., Hollenbaugh, J., Treanor, J., Mosmann, T.R., Jin, X., Ward, B., Miao, H., Holden-Wiltse, J.,  Perelson, A.S.,  Zand, M., and Wu, H. (2009). Simulation and Prediction of the Adaptive Immune Response to Influenza A Virus Infection. Journal of Virology, 83, 7151-7165. PMCID: PMC2704765
  • Chen, J. and Wu, H. (2008). Efficient Local Estimation for Time-varying Coefficients in Deterministic Dynamic Models with Applications to HIV-1 Dynamics. Journal of the American Statistical Association, 103, 369-384. Paper
  • Wu, H., Zhu, H., Miao, H., and Perelson, A.S. (2008). Parameter Identifiability and Estimation of HIV/AIDS Dynamic Models. Bulletin of Mathematical Biology, 70(3), 785-799. PMID: 18247096
  • Miao, H., Dykes, C., Demeter, L.M., Cavenaugh, J., Park, S.Y., Perelson, A.S., and Wu, H. (2008). Modeling and Estimation of Kinetic Parameters and Replicative Fitness of HIV-1 from Flow-Cytometry-Based Growth Competition Experiments. Bulletin of Mathematical Biology, 70, 1749-1771. PMID: 18648886
  • Liang, H., Wu, H.,and Zou, G. (2008). A Note on Conditional AIC for Linear Mixed-Effects Models. Biometrika, 95, 773-778. PMCID: PMC2572765
  • Liang, H. and  Wu, H. (2008). Parameter Estimation for Differential Equation Models Using a Framework of Measurement Error in Regression Models. Journal of the American Statistical Association, 103, 1570-1583. PMCID: PMC2631937
  • Zhu, H. and Wu, H. (2007., Estimation of Smoothing Time-Varying Parameters in State Space Models. Journal of Computational and Graphical Statistics (JCGS), 16(4), 813-832. Paper
  • Huang, Y., Liu, D. and Wu, H. (2006). Hierarchical Bayesian Methods for Estimation of Parameters in a Longitudinal HIV Dynamic System. Biometrics, 62, 413-423. PMCID: PMC2435289