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Statistics Colloquium

Event Type: 
Professor Yiliang Zhu
Event Date: 
Thursday, February 22, 2018 -
3:30pm to 4:45pm
SMLC 356

Event Description: 

Abstract:  in this presentation, Dr. Zhu will present some of his recent work with his colleagues on two topics. The first is on mixture modeling of CD4 counts and viral load dynamic trajectories in HIV/AIDS patients receiving highly active antiviral retroviral therapy (HAART). The overarching goal is to develop tools to aid physician-patient decision making in choosing HAART regimen when the existing one is no longer effective. The second is on Bayes Factor Analysis of metal speciation in PM2.5. The goal is to characterize the spatiotemporal variations of pollutant mixtures to improve exposure assessment in environmental health risk assessment.   He will also touch upon topics in areas where new statistical tools can make a significant impact.  
Bio: Yiliang Zhu, Ph.D., professor at the University of New Mexico Internal Medicine Department, directs the Biostatistics, Epidemiology, and Research Design (BERD) Core of UNM’s Clinical and Translational Science Center and the same core of the Mountain West Clinical and Translational Research Infrastructure Network, a consortium of thirteen universities in seven states. Before joining UNM, Dr. Zhu was a professor in the College of Public Health and Morsani College of Medicine, University of South Florida, where he was the founding director of the Center for Collaborative Research and the first Biostatistics Ph.D. program in the state of Florida. Dr. Zhu was a Fulbright Fellow (2012-2013) and a Science and Technology Policy Fellow of the American Association for Advancement of Sciences (AAAS) (2013-2015). Dr. Zhu actively engages in policy research, including an 18-year cohort to study the interplay of the environment, health policy, health, and human development in the northwestern Chinese Loess Plateau region, an area devastated by chronic poverty and depleted natural resources. His recent research focuses on innovative use and development of methods to address significant health issues. Recent examples include indoor biological hazards and pediatric asthma, integrative modeling of endocrine disruption along the network of Adverse Outcome Pathways; spatiotemporal mixture of PM2.5 metals; dynamic mixture models of CD4 and viral load trajectory to aid in clinical management of HIV/AIDS. He also actively conducts research in risk assessment, clinical outcome evaluation, and statistical and computational methods.