Statistical Science

People

Administrative Positions
 Banks, David L., Director of the Statistical and Applied Mathematical Sciences Institute
 CetinkayaRundel, Mine, Director of Undergraduate Studies in Statistical Science
 Clyde, Merlise, Chair in the Department of Statistical Science
 Dasmohapatra, Sudipta, Director of Graduate Studies of Statistical Science Masters Program
 Reiter, Jerome P., Associate Chair of the Department of Statistical Science
 Tokdar, Surya Tapas, Director or Graduate Studies in Statistical Science

Professorships
 Berger, James O., Arts and Sciences Professor of Statistics
 Dunson, David B., Arts and Sciences Professor of Statistical Science
 Gelfand, Alan E., James B. Duke Professor of Statistics and Decision Sciences
 Reiter, Jerome P., Bass Fellow
 West, Mike, Arts and Sciences Professor of Statistics and Decision Sciences

Primary Appointments
 Abrahamsen, Tavis M, Instructor of Statistical Science
 Banks, David L., Professor of the Practice of Statistical Science
 Berger, James O., Professor of Statistical Science
 CetinkayaRundel, Mine, Associate Professor of the Practice of Statistical Science
 Christensen, Jonathan Casey, Instructor of Statistical Science
 Clyde, Merlise, Professor of Statistical Science
 Dasmohapatra, Sudipta, Lecturer, Senior of Statistical Science
 Dunson, David B., Professor of Statistical Science
 Gelfand, Alan E., Professor of Statistical Science
 Heller, Katherine, Assistant Professor of Statistical Science
 Herring, Amy H, Professor of Statistical Science
 Hoff, Peter David, Professor of Statistical Science
 Iversen Jr., Edwin Severin, Research Professor of Statistical Science
 Li, Fan, Associate Professor of Statistical Science
 Ma, Li, Assistant Professor of Statistical Science
 Mukherjee, Nabanita, Instructor of Statistical Science
 Mukherjee, Sayan, Professor of Statistical Science
 Reiter, Jerome P., Professor of Statistical Science
 Rundel, Colin, Assistant Professor of the Practice of Statistical Science
 Schmidler, Scott C., Associate Professor of Statistical Science
 Steorts, Rebecca Carter, Assistant Professor of Statistical Science
 Tokdar, Surya Tapas, Associate Professor of Statistical Science
 Volfovsky, Alexander, Assistant Professor of Statistical Science
 West, Mike, Professor of Statistical Science
 Wolpert, Robert L., Professor of Statistical Science

Secondary Appointments
 Arlotto, Alessandro, Associate Professor of Statistical Science
 Belloni, Alexandre, Professor of Statistical Science
 Chan, Chi Wei Cliburn, Associate Research Professor of Statistical Science
 Clark, James S., Professor of Statistical Science
 Lucas, Joseph E., Associate Research Professor of Statistical Science
 Mattingly, Jonathan Christopher, Professor of Statistical Science
 Miller, Ezra, Professor in the Department of Statistical Science
 Rudin, Cynthia D., Associate Professor of Statistical Science
 Winkler, Robert L., Professor of Statistical Science

Joint Appointments
 Reeves, Galen, Assistant Professor of Statistical Science
 Wu, HauTieng, Associate Professor of Statistical Science

NonFaculty Positions
 Amitai, Gilad, Student
 Barrientos, Andres Felipe, Postdoctoral Associate
 Betancourt, Brenda, Postdoctoral Associate
 Chevallier, Emmanuel Pierre Emile, Postdoctoral Associate
 Coker, Beau, Research Assistant, Master's Student
 Duan, Leo, Postdoctoral Associate
 Futoma, Joe, Associate In Research
 Gong, Liyu, Teaching Assistant
 Han, Shaobo, Postdoctoral Associate
 Hellmayr, Christoph, Associate In Research
 Jones, David, Postdoctoral Associate
 Kaplan, Andee, Postdoctoral Associate
 Kim, Woo Min, Teaching Assistant
 Lindon, Michael, Teaching Assistant
 OwensOas, Derek, Teaching Assistant
 Rauch, Lori J, Staff Asst
 Rose, Frisco, Systems Programmer
 Sen, Deborshee, Postdoctoral Associate
 Thai, Hoang Duy, Postdoctoral Associate
 Wang, Eric, Research Assistant, Ph D Student
 Wang, Yizheng, Teaching Assistant
 Whitesell, Karen, Staff Asst

Affiliate Positions
 Chen, Xi, Student
 Guo, Yi, Affiliate
 Jia, Yimeng, Student
 Jiang, Yu, Research Assistant, Ph D Student

Students
 Akande, Olanrewaju, Student
 Bao, Yang, Student
 Batista, Ricardo, Student
 Berry, Lindsay, Student
 Bryan, Jonathan, Student
 Bu, Fan, Student
 Burris, Kyle, Student
 Chen, Jie, Student
 Chen, Xu, Student
 Chen, Yolanda, Student
 Chen, Yuhan, Student
 Chen, Yunran, Student
 Coleman, Jake, Student
 Cunningham, Erika, Student
 Eastman, Will, Student
 Ferrari, Federico, Student
 Geng, Dawei, Student
 Gorsky, Shai, Student
 Greve, Jan Tomoya, Student
 Guo, Yi, Student
 Hao, Yunlu, Student
 Harrison, Walker, Student
 Heck, Jody, Student
 Hu, Sean, Student
 Huang, Junwen, Student
 Jauch, Michael, Student
 Jiang, Sheng, Student
 Johnson, Tessa, Student
 Kamat, Gauri, Student
 Kirveslahti, Henry, Student
 Klemish, David, Student
 Lai Wai, Melanie, Student
 Larson, Gary, Student
 Lavine, Isaac, Student
 Lazzaro, John, Student
 Le, Anh, Student
 Lebovici, Lisa, Student
 Lee, Jaeyeon, Student
 Li, Bai, Student
 Li, Chunxiao, Student
 Li, Lianghui, Student
 Li, Xuetong, Student
 Li, Yunxuan, Student
 Lin, Kangcheng, Student
 Liu, Qi (Dylan), Student
 Lorenzi, Elizabeth, Student
 Mandan, Arpita, Student
 Mang, Alexander, Student
 Mao, Jialiang, Student
 Marion, Joe, Student
 Mathews, Heather, Student
 Moran, Kelly, Student
 Nguyen, Maggie (Nghi), Student
 Ossa Monge, Felipe, Student
 Ou, Rihui, Student
 Patra, Sayan, Student
 Pena, Victor, Student
 Song, Hanyu, Student
 Talbot, Austin, Student
 Tang, Jiurui, Student
 Truver, Daniel, Student
 Wang, Kai, Student
 Wang, Rui, Student
 Wang, Yixuan, Student
 Welch, Matt, Student
 White, Philip, Student
 White, Zach, Student
 Xie, Meng (Amy), Student
 Ye, Wenwen, Student
 Yu, Sophie, Student
 Zaidi, Abbas, Student
 Zeng, Shuxi, Student
 Zhang, Elaine, Student
 Zhang, Shuangjie, Student
 Zhao, Yan, Student
 Zhu, Yi, Student


Administers Grant
 13th ISBA World Meeting on Bayesian Statistics
 Advances in Bayesian Model Choice
 Advances in Scalable Monte Carlo Algorithms for Bayesian Statistics
 An Integrated Nonparametric Bayesian and Deep Neural Network Framework for BiologicallyInspired Lifelong Learning
 Analysis of Glutathione Stransferase polymorphism, Lifestyle & Cancer Risk
 BIGDATA:F: Scalable Bayes uncertainty quantification with guarantees
 BRCA 1 and BRCA2 missense mutations and breast cancer risk
 Bayes 250 Conference
 Bayesian Analysis and Frequentist Interfaces
 Bayesian Analysis and Interfaces
 Bayesian Analysis of Shapes and Curves with Applications in Bioinformatics
 Bayesian Methods for Assessing Gene by Environment Interactions
 Bayesian Methods for HighDimensional Epidemiologic Data
 Bayesian Modeling and Optimal Design for Studies of GeneEnvironment Association
 Bayesian Nonparametric Methods for Spatial and Spatiotemporal Data
 Bayesian learning for highdimensional low sample size data
 Bayesian multivariate analysis for causal inference with intermediate variable
 Bayesian recursive partitioning and inference on the structure of highdimensional distributions
 CAREER: Advances in multiscale Bayesian inference and learning on massive data
 CAREER: Scalable Record Linkage through the Microclustering Property
 Celebrating Women in Statistics
 Collaborative Proposal: SGER: Social Measures of the Katrina Aftermath
 Collaborative QEIB Research: Spatiotemporal Modeling of Species Distributions and BiodiversityIntegrating Climate and
 Collaborative Research: Adaptive Experimental Design for Astronomical Exploration
 Collaborative Research: Advances Statistical Surrogates for Linking Multiple Computer Models with Disparate Data for Quantifying Uncertain Hazards
 Collaborative Research: Bayesian Analysis and Applications
 Collaborative Research: Ocean Circulation Climatology and Dynamics Using Bayesian Hierarchial Methods
 Collaborative Research: Record Linkage and PrivacyPreserving Methods for Big Data
 Collaborative Research: Statistical And Computational Models and Methods for Extracting Knowledge from Massive Disparate
 Collaborative Research: Statistical Methods for Analyzing Complexity and Growth of Large Biological and Information Netw
 Collaborative Research: Statistical Modeling and Inference for Highdimensional MultiSubject Neuroimaging Data
 Computatopmal Methods and Tools for Creating High Quality, Public Use Census Microdata
 Emergence of Cardiometabolic Risk Across the Lifecycle in China
 Epidemiologic factors and survival by molecular subtypes of ovarian cancer
 FRG: Collaborative Research: Prediction and Risk of Extreme Events Utilizing Mathematical Computer Models of Geophysical
 Graphical multiresolution scanning for crosssample variation
 Hazards SEES Type 1: Persistent volcanic crises in the USA: from precursors to resilience
 Hazards SEES: Persistent volcanic crises  resilience in the face of prolonged and uncertain risk
 Integrating Multiple Data Sources to Account for Nonignorable Nonresponse
 Large Scale Model Averaging and Model Selection
 MMS: Methodology for Improving Public Use Data Dissemination Via MultiplyImputer, Partially Synthetic Data
 Measurement, Modeling, and Prediction for Infrastructual Systems
 Metaknowledge Network: Knowledge about Knowledge to Answer the Big Questions
 Metaknowledge Network: Knowledge about Knowledge to Answer the Big Questions
 Models for Consortium Level Analysis of GxE Interaction in Complex Disease
 Models for Network Evolution: A Study of Growth and Structure in the Wikipedia
 Moral Mathematics: The Science of Human Rights
 Multiple Imputation Methods for Handling Missing Data in Longitudinal Studies with Refreshment Samples
 NCRNMN:Triangle Census Research Network
 NSF Causal Inference Workshops
 Network motifs in cortical computation
 New weighting methods for causal inference
 Nonparametric Bayes Methods for Biomedical Studies
 OC3 SubtypeSpecific Risk Model
 Optimal Spatial Design for Environmental Health Research
 Predicting Performance from Network Data
 Probabilistic learning of structure in complex data
 Public Health Research Grant
 QuBBD: Collaborative Research: Matching Methods for causal inference: big data and networks
 RTI Research on Development of Drug Use Models
 Reproducibility and Robustness of Dimensionality Reduction
 SCREMS: Distributed Environments for Stochastic Computation
 Scalable probabilistic inference for huge multidomain graphs
 Sharing Confidential Datasets With Geographic Identifiers Via Multiple Imputation
 Spacetime Modeling for Linking Climate Change, Pollutant Exposure, Built Environments, and Health Outcomes
 Spatialtemporal Models for Environmental Health Effects
 Statistical and Applied Mathematical Sciences Institute (Supplement)
 Structured nonparametric methods for mixtures of exposures
 Student Travel Support for the Isaac Newton Institute Workshops on Statistical Methods for Complex, HighDimensional Dat
 TC:Large: Collaborative Research: Practical Privacy: Metrics and Methods for Protecting Recordlevel and Relational Data
 The Valencia/ISBA Eighth World Meeting on Bayesian Statistics
 The Valencia/ISBA Eighth World Meeting on Bayesian Statistics
 Topological Methods for Morphology: Classifying Shape and Function via Dictionary Learning
 Understanding Regression Heterogeneity Through Joint Estimation of Conditional Quantiles