Statistical Science

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  People

  • Administrative Positions

    • Cetinkaya-Rundel, Mine, Director of Undergraduate Studies in Statistical Science
    • Clyde, Merlise, Director of Graduate Studies in Statistical Science
    • Gunes, Funda, Director of Graduate Studies of Statistical Science Masters Program
    • Tokdar, Surya Tapas, Interim Chair of Statistical Science

  • Professorships

    • Berger, James O., Arts and Sciences Distinguished Professor Emeritus of Statistics
    • Dunson, David B., Arts and Sciences Distinguished Professor of Statistical Science
    • Gelfand, Alan E., James B. Duke Distinguished Professor Emeritus of Statistical Science
    • Herring, Amy H, Sara and Charles Ayres Distinguished Professor
    • Reiter, Jerome P., Bass Fellow
    • West, Mike, Arts and Sciences Distinguished Professor of Statistics and Decision Sciences

  • Primary Appointments

    • Banks, David L., Professor of the Practice of Statistical Science
    • Berger, James O., Professor Emeritus of Statistical Science
    • Cetinkaya-Rundel, Mine, Professor of the Practice of Statistical Science
    • Chen, Yuansi, Assistant Professor of Statistical Science
    • Clyde, Merlise, Professor of Statistical Science
    • Dunson, David B., Professor of Statistical Science
    • Fisher, Alexander, Assistant Professor of the Practice of Statistical Science
    • Gelfand, Alan E., Professor Emeritus of Statistical Science
    • Gunes, Funda, Senior Lecturer 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
    • Jiang, Yue, Assistant Professor of the Practice of Statistical Science
    • Laber, Eric, Professor of Statistical Science
    • Li, Fan, Professor of Statistical Science
    • Ma, Li, Associate Professor of Statistical Science
    • Mak, Simon, Assistant Professor of Statistical Science
    • Mukherjee, Sayan, Professor of Statistical Science
    • Reiter, Jerome P., Professor of Statistical Science
    • Rundel, Colin, Associate Professor of the Practice of Statistical Science
    • Schmidler, Scott C., Associate Professor of Statistical Science
    • Steorts, Rebecca Carter, Associate Professor of Statistical Science
    • Tackett, Maria, Assistant Professor of the Practice of Statistical Science
    • Tokdar, Surya Tapas, Professor of Statistical Science
    • Volfovsky, Alexander, Assistant Professor of Statistical Science
    • West, Mike, Professor of Statistical Science
    • Wolpert, Robert L., Professor Emeritus of Statistical Science
    • Xu, Jason, Assistant Professor of Statistical Science

  • Secondary Appointments

    • Belloni, Alexandre, Professor of Statistical Science
    • Chan, Chi Wei Cliburn, Research Professor of Statistical Science
    • Clark, James S., Professor of Statistical Science
    • Lin, Lin, Assistant Research Professor of Statistical Science
    • Mattingly, Jonathan Christopher, Professor of Statistical Science
    • Miller, Ezra, Professor of Statistical Science
    • Rudin, Cynthia D., Professor of Statistical Science
    • Winkler, Robert L., Professor of Statistical Science
    • Zhang, Anru, Associate Professor of Statistical Science

  • Joint Appointments

    • Reeves, Galen, Associate Professor of Statistical Science
    • Wu, Hau-Tieng, Professor of Statistical Science

  • Non-Faculty Positions

    • Aleshin-guendel, Serge, Postdoctoral Associate
    • Anceschi, Nico, Postdoctoral Associate
    • Berchuck, Samuel, Research Associate, Senior
    • Dewaskar, Miheer, Postdoctoral Associate
    • Durso, Joan, Research Scientist
    • Hewitt, Josh, Associate In Research
    • Horiguchi, Akira, Postdoctoral Associate
    • Kim, Hyotae, Postdoctoral Associate
    • Meyer, Elijah, Postdoctoral Associate
    • Peruzzi, Michele, Postdoctoral Associate
    • Wei, Yun, Postdoctoral Associate
    • Xu, Maoran, Postdoctoral Associate

  • Affiliate Positions

    • Dahl, Nicholas, Affiliate
    • Pliego San Martin, Jose, Affiliate
    • Schmidt, Emma, Affiliate
    • Wang, Xiaoyu, Affiliate

  • Students

    • Aujla, Jasprit Singh, Student
    • Aveni, Andrea, Student
    • Baek, Youngsoo, Student
    • Bao, Yunhong, Student
    • Bersson, Elizabeth (Betsy), Student
    • Bi, Yuchen, Student
    • Binette, Olivier, Student
    • Bruni, Benedetta, Student
    • Buch, David, Student
    • Chattopadhyay, Shounak, Student
    • Chen, Min, Student
    • Chen, Yunran, Student
    • Cheng, Yang, Student
    • Chong, Kwong Yu, Student
    • Christensen, Michael, Student
    • Darshan, Medhavi, Student
    • Dey, Pritam, Student
    • Dombowsky, Alex, Student
    • Gai, Xin, Student
    • Gnesin, Eli, Student
    • Guerrero Castañeda, Alonso, Student
    • Guo, Yueqi, Student
    • Husar, Kat, Student
    • Jang, Junghwa, Student
    • Jeon, Kyungeun, Student
    • Ji, Yi (Irene), Student
    • Jiang, Minhui, Student
    • Jin, Howard, Student
    • Johnson, Devin, Student
    • Johnson, Leah, Student
    • Kampe, Jennifer, Student
    • Kazan, Zeki, Student
    • Kundinger, Brian, Student
    • Lawson, Joseph, Student
    • Lee, Cathy, Student
    • Li, Aihua, Student
    • Li, Gavin, Student
    • Li, Kevin, Student
    • Li, Yue, Student
    • Li, Zeyan, Student
    • Liang, Cassie, Student
    • Lin, Huiying, Student
    • Lin, Yiyu, Student
    • Liu, Bo, Student
    • Liu, Shiqi, Student
    • Liu, Yen-Chun, Student
    • Liu, Yinyihong, Student
    • Liu, Yuanxin, Student
    • Mathews, Joe, Student
    • Mauri, Lorenzo, Student
    • Miller, John, Student
    • Misikoff, Tommy, Student
    • Morsomme, Raphaël, Student
    • Murphy, Caitrin, Student
    • Nguyen, Phuc, Student
    • Ou, Rihui, Student
    • Palmer, Glenn, Student
    • Pang, Ruixin, Student
    • Presman, Rick, Student
    • Purohit, Sanskriti, Student
    • Rosen, Sam, Student
    • Rossetti, Riccardo, Student
    • Roy, Suchismita, Student
    • Scherting, Braden, Student
    • Shen, Christine, Student
    • Shen, Yicheng, Student
    • Sheng, Xinyi, Student
    • Smith, Natalie, Student
    • Song, Cynthia, Student
    • Suder, Piotr, Student
    • Sung, Bongjung, Student
    • Tallman, Emily, Student
    • Tam, Ed, Student
    • Tang, Ryan, Student
    • Tao, Derek, Student
    • Ti, Devin, Tze Hong, Student
    • Tian, Zizhuo, Student
    • Tirone, William, Student
    • Varberg, Nathan, Student
    • Vrotsos, Luke, Student
    • Wang, Carol, Student
    • Wang, Hao, Student
    • Wang, Haoxuan, Student
    • Wang, Houjie, Student
    • Wang, Jiahua, Student
    • Wang, Linxuan, Student
    • Wang, Shuo, Student
    • Weltz, Justin, Student
    • Winter, Steven, Student
    • Woo, Caleb, Student
    • Wu, Keru, Student
    • Wu, Tianyu, Student
    • Yang, Haoming, Student
    • Yang, Yanjiao, Student
    • Yu, Bei, Student
    • Yuan, Yiliang, Student
    • Zeng, Shang, Student
    • Zeng, Yucan, Student
    • Zhang, Huanming, Student
    • Zheng, Xiaojun, Student
    • Zhong, Chudi, Student
    • Zhong, Yinting, Student
    • Zhou, Jingan, Student
    • Zhou, Joyce, Student
    • Zhou, Yuren, Student
    • Zhou, Zichun, Student
    • Zhu, Zihan, Student
    • Zito, Alessandro, Student
• 

  Administers Grant

  • 13th ISBA World Meeting on Bayesian Statistics
  • 84.51 Sponsored Research Agreement - Research in Bayesian Forecasting of Massive, Discrete Times Series
  • A Patient-centered Intervention Using Technology to Reduce Colorectal Cancer Disparities in Primary Care
  • A Planetary Inventory of Life - a New Synthesis Built on Big Data Combined with Novel Statistical Methods
  • A Pragmatic Trial of an Adaptive eHealth HIV Prevention Program for Diverse Adolescent MSM
  • Advances in Bayesian Model Choice
  • Advances in Bayesian nonparametric methods for jointly modeling multiple data sets
  • Advances in Scalable Monte Carlo Algorithms for Bayesian Statistics
  • Adversarial Risk Analysis for Optimal Obstacle Evasion
  • Analysis of data for the Glutathione S-transferase polymorphism, Behavioral Lifestyle Factors and Premenopausal Breast Cancer Risk
  • Analyzing Dependent Extremes via Joint Quantile Regression
  • BIGDATA:Collaborative Research:F: Big Data, it's not so big: exploiting low-dimensional geometry for learning and inference
  • BIGDATA:F: Scalable Bayes uncertainty quantification with guarantees
  • BRCA 1 and BRCA2 missense mutations and breast cancer risk
  • Bayer Sponsored Research Agreement
  • 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 High-Dimensional Epidemiologic Data
  • Bayesian Modeling and Optimal Design for Studies of Gene-Environment Association
  • Bayesian Models and Methods for Dynamic and Spatio-Dynamic Systems
  • Bayesian Nonparametric Methods for Spatial and Spatiotemporal Data
  • Bayesian learning for high-dimensional low sample size data
  • Bayesian multivariate analysis for causal inference with intermediate variable
  • Bayesian recursive partitioning and inference on the structure of high-dimensional distributions
  • Beyond Riemannian Geometry In Inference
  • Building Better Teams: A Network Analysis Approach (Research Areas of Interest: 2. Leader Development, 3. Personnel Testing and Performance, and 4. Organizational Effectiveness)
  • Building a reinforcement learning tool for individually tailoring just-in-time adaptive interventions: Extending the reach of mHealth technology for improved weight loss outcomes
  • CAREER: Advances in multi-scale Bayesian inference and learning on massive data
  • CAREER: Big Computation and the Management of Emerging Infectious Diseases
  • CAREER: Design and analysis of experiments for complex social processes
  • CAREER: Scalable Record Linkage through the Microclustering Property
  • CAREER: Towards Tight Guarantees of Approximate Markov Chain Sampling Algorithms in High Dimensional Statistical Inference
  • CRCNS: Geometry-based Brain Connectome Analysis
  • Calibrated uncertainty quantification in statistical learning
  • Collaborative Proposal: SGER: Social Measures of the Katrina Aftermath
  • Collaborative QEIB Research: Spatio-temporal Modeling of Species Distributions and Biodiversity-Integrating Climate and Population Responses
  • Collaborative Research: Probabilistic Models and Geometry for High Dimensional Data
  • 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: Advancing Bayesian Thinking in STEM
  • Collaborative Research: Bayesian Analysis and Applications
  • Collaborative Research: Capturing salient features in point process models via stochastic process discrepancies
  • Collaborative Research: Numerical Algebra and Statistical Inference
  • Collaborative Research: Ocean Circulation Climatology and Dynamics Using Bayesian Hierarchial Methods
  • Collaborative Research: RAPID: Statistical tools to quantify and mitigate the spread of COVID-19
  • Collaborative Research: Record Linkage and Privacy-Preserving Methods for Big Data
  • Collaborative Research: Statistical And Computational Models and Methods for Extracting Knowledge from Massive Disparate Data for Quantifying Uncertain Hazards
  • Collaborative Research: Statistical Methods for Analyzing Complexity and Growth of Large Biological and Information Networks
  • Collaborative Research: Statistical Modeling and Inference for High-dimensional Multi-Subject Neuroimaging Data
  • Collaborative Research: Topological Methods for Parsing Shapes and Networks and Modeling Variation in Structure and Function
  • Collaborative Research: Using Precursor Information to Update Probabilistic Hazard Maps
  • Collaborative: Bayesian Residual Learning and Random Recursive Partitioning Methods for Gaussian Processes Modeling
  • Component A: BD-STEPS II Core at North Carolina Center for Birth Defects Research and Prevention (NC BDSTEPS II Core)
  • Computatopmal Methods and Tools for Creating High Quality, Public Use Census Microdata
  • Conference on Learning: foundations and applications in language and speech, in the Memory of Partha Niyogi
  • Development of a program to assess and treat distress in glaucoma patients using an automated EHR-derived AI algorithm
  • Emergence of Cardiometabolic Risk Across the Lifecycle in China
  • Enhancing Synthetic Data Techniques for Practical Applications
  • Epidemiologic factors and survival by molecular subtypes of ovarian cancer
  • FACT: Near Real-Time Spatiotemporal Resource Allocation to Improve Swine Health
  • FRG: Collaborative Research: Prediction and Risk of Extreme Events Utilizing Mathematical Computer Models of Geophysical Processes
  • Foreign-Born Scientists and Engineers and the U.S. Workforce (FBSE)
  • GRB Pulse Decomposition Using Bayesian Droplets
  • Graphical multi-resolution scanning for cross-sample variation
  • HDR TRIPODS: Innovations in Data Science: Integrating Stochastic Modeling, Data Representation, and Algorithms
  • 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
  • ISBA 2020: 15th World Meeting of the International Society of Bayesian Analysis -- June 29-July 3, 2020
  • Inference for Stationary Processes: Optimal Transport and Generalized Bayes
  • Integrating Multiple Data Sources to Account for Nonignorable Nonresponse
  • Integration of ideas in computational geometry and statistical inference to further modern approaches to data analysis.
  • Interpretable and Scalable Entity Resolution Applied to the Decennial Census
  • Ixchel: Building understanding of the physical, cultural and socio-economic drivers of risk for strengthening resilience in the Guatemalan cordillera
  • Large Scale Model Averaging and Model Selection
  • MAYO Clinic Breast Cancer SPORE-Project 1: Cancer risks for mutations in breast cancer predisposition genes
  • MMS: Methodology for Improving Public Use Data Dissemination Via Multiply-Imputer, Partially Synthetic Data
  • Meetings of New Researchers in Statistics and Probability
  • Meetings of New Researchers in Statistics and Probability
  • Metaknowledge Network: Knowledge about Knowledge to Answer the Big Questions
  • Metaknowledge Network: Knowledge about Knowledge to Answer the Big Questions
  • Modeling of Graphs, Networks and Trees for Genomic Applications: High-Dimensional Model Search
  • Models for Consortium Level Analysis of GxE Interaction in Complex Disease
  • Models for Network Evolution: A Study of Growth and Structure in the Wikipedia
  • Modern Mathematics Workshop
  • Moral Mathematics: The Science of Human Rights
  • Multi-Scale Bayesian Dynamic Flow Models for Network Behaviour Monitoring
  • Multiple Imputation Methods for Handling Missing Data in Longitudinal Studies with Refreshment Samples
  • NCRN-MN:Triangle Census Research Network
  • NSF Causal Inference Workshops
  • Network motifs in cortical computation
  • New causal inference methods for cluster randomized trials with post-randomization selection
  • New weighting methods for causal inference
  • Nonparametric Bayes Methods for Biomedical Studies
  • OC3 Subtype-Specific Risk Model
  • Optimal Spatial Design for Environmental Health Research
  • Posterior Prototyping: Bridging the gap between Record Linkage and Regression
  • Predicting Performance from Network Data
  • Probabilistic learning of structure in complex data
  • QuBBD: Collaborative Research: Matching Methods for causal inference: big data and networks
  • Quantifying and Communicating Numerical Model Uncertainty
  • R13 Conference Grant application for the Institute for Mathematical Statistics New Researchers Conference to be held July 26, 2018
  • RAISE:IHBEM: Equilibrium network formation and infectious-disease spread: bridging the divide between mathematical biology and economics
  • RAPID: Planning for the present and future management of COVID-19
  • RTI Research on Development of Drug Use Models
  • Random dynamical systems and limit theorems for optimal tracking
  • Reproducibility and Robustness of Dimensionality Reduction
  • Research in Bayesian Analysis: Large-scale Regression and Prediction Models with Applications in Bioinformatics and Applied Time Series
  • RoL: FELS: RAISE: Does everyone's microbiome follow the same rules
  • SAMSI Statistics Advisory Group
  • SCREMS: Distributed Environments for Stochastic Computation
  • Scalable probabilistic inference for huge multi-domain graphs
  • Science-Integrated Predictive modeLing (SCINPL): a novel framework for scalable and interpretable predictive scientific computing
  • Shape-based Generalization Bounds for Deep Learning
  • Sharing Confidential Datasets With Geographic Identifiers Via Multiple Imputation
  • Space-time Modeling for Linking Climate Change, Pollutant Exposure, Built Environments, and Health Outcomes
  • Spatial Modeling of Air Pollution Exposure and Uncertainty with Application to Adverse Birth Outcomes
  • Spatial-temporal Models for Environmental Health Effects
  • Statistical And Applied Mathematical Sciences Institute
  • Statistical and Applied Mathematical Science Institute
  • Statistical and Applied Mathematical Sciences Institute
  • Statistical and Applied Mathematical Sciences Institute (Supplement)
  • Statistical modeling of cross-sample variation and learning of latent structures in microbiome sequencing data
  • Statistical models to investigate long-distance QTL transcription regulation
  • Structured nonparametric methods for mixtures of exposures
  • Student Travel Support for the Isaac Newton Institute Workshops on Statistical Methods for Complex, High-Dimensional Dat
  • Synthetic Data for the National Center for Health Statistics
  • TC: Large: Collaborative Research: Practical Privacy: Metrics and Methods for Protecting Record-level 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
  • Unsupervised Detection of Bias in Record Linkage
  • ZioXTPatch data in ARIC

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