Ph.D. (1994) Florida State University

Hulin Wu Professor of Biostatistics and Computational Biology Professor of Medicine Professor of Community and Preventive Medicine Chief, Division of Biomedical Modeling and Informatics Director, Center for Biodefense Immune Modeling     Hulin Wu's Personal Website Contact Information: University of Rochester Dept of Biostatistics and Computational Biology 601 Elmwood Avenue Box 630 Rochester, New York 14642   Office: Lattimore Medical Bldg 103 Phone: (585) 241-0705 Fax: (585) 256-2541   Office: MRBX G-11311M Phone: (585) 275-6767 Fax: (585) 273-1031   E-mail: HWu@bst.rochester.edu

Research Interests

My recent research interests include nonparametric regression methods and mixed-effects models for longitudinal data analysis, Bayesian and Monte Carlo filtering approaches for state-space models of biological systems, modeling HIV dynamics and AIDS clinical trials, pharmacokinetics and pharmacodynamics (PK/PD) modeling, and stochastic simulations and modeling of bioterrorist attacks. I am also expanding my research in the area of theoretical immunology.

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).
 

Technical Reports

• Park, J-G. and Wu, H. (2004). Backfitting and Local Likelihood Methods for Nonparametric Mixed-Effects Models with Longitudinal Data (Technical Report 04/03).
   
• Liu, D., Niu, X-F. and Wu, H. (2005). Mixed-Effects State Space Models for Analysis of Longitudinal Dynamic Systems (Technical Report 05/07).
   

Selected Publications

• Wu, H., Ding, A. and DeGruttola. V. (1998). Estimation of HIV Dynamic Parameters. Statistics in Medicine 17, 2463-2485.
• Wu, H. and Ding, A. (1999). Population HIV-1 Dynamics in Vivo: Applicable Models and Inferential Tools for Virological Data from AIDS Clinical Trials. Biometrics 55, 410-418.
• Wu, H., Kuritzkes, D.R., and McClernon, D.R. et al. (1999). Characterization of Viral Dynamics in Human Immunodeficiency Virus Type 1-Infected Patients Treated with Combination Antiretroviral Therapy: Relationships to Host Factors, Cellular Restoration and Virological Endpoints. Journal of Infectious Diseases 179, 799-807.
• Ding, A.A. and Wu, H. (1999). Relationships between Antiviral Treatment Effects and Biphasic Viral Decay Rates in Modeling HIV Dynamics. Mathematical Biosciences 160, 63-82.
• Ding, A.A. and Wu, H. (2001). Assessing Antiviral Potency of Anti-HIV Therapies in Vivo by Comparing Viral Decay Rates in Viral Dynamic Models. Biostatistics 2, 13-29.
• Wu, H., Connick E., Kuritzkes, D.R. et al. (2001). Multiple CD4+ Cell Kinetic Patterns and Their Relationships with Baseline Factors and Virologic Responses in HIV-1 Patients Receiving HAART. AIDS Research and Human Retroviruses 17, 1237-1246.
• Wu, L. and Wu, H. (2002). Nonlinear Mixed-Effect Models with Missing Time-Dependent Covariates, with Application to HIV Viral Dynamics. Journal of the Royal Statistical Society, Series C (Applied Statistics) 51, 297-318.
• Wu, H. and Ding, A.A. (2002). Design of Viral Dynamic Studies for Efficiently Assessing Anti-HIV Therapies in AIDS Clinical Trials. Biometrical Journal 2, 175-196.
• Wu, H. and Zhang, J.T. (2002). Local Polynomial Mixed-Effects Models for Longitudinal Data. Journal of the American Statistical Association 7, 883-897.
• Wu, H. and Zhang, J.T. (2002). The Study of Long-Term HIV Dynamics Using Semiparametric Nonlinear Mixed-Effects Models. Statistics in Medicine 21, 3655-3675.
• Liang, H., Wu, H., and Carroll, R.J. (2003). The Relationship Between Virologic and Immunologic Responses in AIDS Clinical Research Using Mixed-Effects Varying-Coefficient Semiparametric Models with Measurement Error. Biostatistics 4, 297-312.
• Sun, Y. and Wu, H. (2003). AUC-Based Tests for Nonparametric Functions with Longitudinal Data. Statistica Sinica 13, 593-612.
• Huang, Y., Rosenkranz, S., Wu, H. (2003). Modeling HIV Dynamics and Antiviral Responses with Consideration of Time-Varying Drug Exposures, Sensitivities and Adherence. Mathematical Biosciences 184, 165-186.
• Wu, H., Mellors, J., Ruan, P. et al. (2003). Viral Dynamics and Their Relations to Baseline Factors and Longer-Term Virologic Responses in Treatment-Naive HIV-1 Infected Patients Receiving Abacavir in Combination with HIV-1 Protease Inhibitors. JAIDS 32, 557-564.
• Wu, H. and Liang, H. (2004). Backfitting Random Varying-Coefficient Models with Time-Dependent Smoothing Covariates. Scan. J. Statist. 31, 3-19.
• Wu, H., Lathey, J., Ruan, P., et al. (2004). Relationship of Plasma HIV-1 RNA Dynamics to Baseline Factors and Virological Responses to Highly Active Antiretroviral Therapy in Adolescents (Aged 12-22 Years) Infected through High-Risk Behavior. Journal of Infectious Diseases, 189, 593-601.
• Wu, H. (2005). Statistical Methods for HIV Dynamic Studies in AIDS Clinical Trials. Statistical Methods in Medical Research, 14, 171-192.
• Sun, Y. and Wu, H. (2005). Semiparametric Time-Varying Coefficients Regression Model for Longitudinal Data. Scan. J. Statist. 32, 21-47.
• Wu, H., Huang, Y., Acosta, E.P., et al. (2005). Modeling Long-Term HIV Dynamics and Antiretroviral Response: Effects of Drug Potency, Pharmacokinetics, Adherence, and Drug Resistance. JAIDS, 39, 272-283.
• Huang, Y., Liu, D. and Wu, H. (2005). Hierarchical Bayesian Methods for Estimation of Parameters in a Longitudinal HIV Dynamic System. Biometrics (in press).
• Wu, H., Huang, Y., Acosta, E.P., et al. (2005). Pharmacodynamics of Antiretroviral Agents in HIV-1 Infected Patients Using Viral Dynamic Models That Incorporate Drug Susceptibility and Adherence. Accepted by Journal of Pharmacokinetics and Pharmacodynamics.