Students/Post-docs
Current students and post-docs
Maggie Johnson, Post-doc
Research interests: My research interests are in the application of statistics in the environmental sciences, particularly in areas utilizing remote sensing or imaging data. My statistical research areas include Bayesian methods, time series and spatial statistics, hierarchical modeling, and model-based clustering. Additional areas of interest are in computational methods and data visualization.
Research interests: My research interests are in the application of statistics in the environmental sciences, particularly in areas utilizing remote sensing or imaging data. My statistical research areas include Bayesian methods, time series and spatial statistics, hierarchical modeling, and model-based clustering. Additional areas of interest are in computational methods and data visualization.
Suman Majumder, PhD student
Research interests: My research interest is application of spatial statistics in the field of climate modeling. My current work involves creating a spatiotemporal model to predict particulate matter concentration (PM2.5) caused by wildfire plumes more accurately. I am also interested in related fields such as remote sensing, extremes etc.
Research interests: My research interest is application of spatial statistics in the field of climate modeling. My current work involves creating a spatiotemporal model to predict particulate matter concentration (PM2.5) caused by wildfire plumes more accurately. I am also interested in related fields such as remote sensing, extremes etc.
Marschall Furman, PhD student
Research interests: My research interests are in applications of spatial statistics and machine learning to large datasets. My current project involves fusion of satellite remote sensing images from multiple sources, at varying spatial and temporal resolutions. I am also interested in data visualization and sports statistics.
Research interests: My research interests are in applications of spatial statistics and machine learning to large datasets. My current project involves fusion of satellite remote sensing images from multiple sources, at varying spatial and temporal resolutions. I am also interested in data visualization and sports statistics.
Qian Guan, PhD student
Research interests: My research interests include dynamic treatment regimes, Bayesian statistics and Spatial statistics. I am currently working on Bayesian policy search with application to health policy statistics, such as developing optimal policy for periodontal recall intervals and resource allocation for malaria control.
Research interests: My research interests include dynamic treatment regimes, Bayesian statistics and Spatial statistics. I am currently working on Bayesian policy search with application to health policy statistics, such as developing optimal policy for periodontal recall intervals and resource allocation for malaria control.
Yuwan Guan, Post-doc
Research interests: My research interests include spatial models such as Gaussian random field model, Gaussian Markov random field model, Bayesian hierarchical models, spatial functional models.
Research interests: My research interests include spatial models such as Gaussian random field model, Gaussian Markov random field model, Bayesian hierarchical models, spatial functional models.
Amanda Muyskens, PhD student
Research interests: My research topic is estimation of nonstationary spatial models for very large datasets. I am developing statistical and computational tools for approximating Gaussian process likelihoods and score equations for large spatial datasets, with applications to inferring dependence structure in microscale elemental data.
Research interests: My research topic is estimation of nonstationary spatial models for very large datasets. I am developing statistical and computational tools for approximating Gaussian process likelihoods and score equations for large spatial datasets, with applications to inferring dependence structure in microscale elemental data.
Halley Brantley, PhD student
Research interests: I’m interested in Bayesian spatio-temporal modeling and applications to near-source (fence line) and real-time (1 Hz) air quality measurements. My current projects include the use of Bayesian quantile regression to locate fugitive emissions within oil refineries and the investigation of land use and traffic on near-road pollutant concentrations using spatio-temporal models.
Research interests: I’m interested in Bayesian spatio-temporal modeling and applications to near-source (fence line) and real-time (1 Hz) air quality measurements. My current projects include the use of Bayesian quantile regression to locate fugitive emissions within oil refineries and the investigation of land use and traffic on near-road pollutant concentrations using spatio-temporal models.
Arnab Hazra, PhD student
Research interests: I am working on spatiotemporal regression models for high-dimensional longitudinal image data with application to brain images of multiple sclerosis patients. I have started working on a project modeling spatial extremes with application to modeling fire indices. My interests are in spatial statistics under the Bayesian framework with application to environmental and health-related data sets.
Research interests: I am working on spatiotemporal regression models for high-dimensional longitudinal image data with application to brain images of multiple sclerosis patients. I have started working on a project modeling spatial extremes with application to modeling fire indices. My interests are in spatial statistics under the Bayesian framework with application to environmental and health-related data sets.
An-Ting Jhuang, PhD student
Research interests: I have interest in developing new statistical methods to tackle environmental problems, especially health-related. My research focuses on sparse signal detection in spatial statistics, spatiotemporal downscaler, and exposure assessment. The applications include soil science, air pollution, and birth defects.
Research interests: I have interest in developing new statistical methods to tackle environmental problems, especially health-related. My research focuses on sparse signal detection in spatial statistics, spatiotemporal downscaler, and exposure assessment. The applications include soil science, air pollution, and birth defects.
Zhou Lan, PhD student
Research interests: My primary research interests are Bayesian statistics, spatial statistics, multivariate statistics and their applications on topics such as diffusion tensor imaging (DTI). I am also interested in extreme value analysis. In addition, I have some industrial experience using data visualization, imaging processing, community detection and statistical genetics.
Research interests: My primary research interests are Bayesian statistics, spatial statistics, multivariate statistics and their applications on topics such as diffusion tensor imaging (DTI). I am also interested in extreme value analysis. In addition, I have some industrial experience using data visualization, imaging processing, community detection and statistical genetics.
Alexandra Larsen, PhD student
Research interests: My research interests are in Bayesian and causal inference, and spatial statistics with applications to environmental areas such as air pollution. My dissertation focus is on exploring new statistical methods for assessing the impact of wildfires on air quality.
Research interests: My research interests are in Bayesian and causal inference, and spatial statistics with applications to environmental areas such as air pollution. My dissertation focus is on exploring new statistical methods for assessing the impact of wildfires on air quality.
Indranil Sahoo, PhD student
Research interests: My research interests include spatio-temporal modeling of large scale climate data. My current research involves developing a test for spatial isotropy on a sphere using climate model outputs. The main challenges include ensuring computational stability and access the performance of the test under several practical conditions and for grid sizes.
Research interests: My research interests include spatio-temporal modeling of large scale climate data. My current research involves developing a test for spatial isotropy on a sphere using climate model outputs. The main challenges include ensuring computational stability and access the performance of the test under several practical conditions and for grid sizes.
Susheela Singh, PhD student
Research interests: My research focuses on hierarchical and nonparametric Bayesian models with applications to large spatial data. I’m currently working to develop a screening tool to identify factors that influence community composition using microbiome data and to build a framework to predict pollutant exposure distributions.
Research interests: My research focuses on hierarchical and nonparametric Bayesian models with applications to large spatial data. I’m currently working to develop a screening tool to identify factors that influence community composition using microbiome data and to build a framework to predict pollutant exposure distributions.
Yuan Tian, PhD student
Research interests: I’m interested in spatial data analysis with application in environmental issues. I’m also interested in extreme value analysis, spatiotemporal modeling and large sample data analysis.
Research interests: I’m interested in spatial data analysis with application in environmental issues. I’m also interested in extreme value analysis, spatiotemporal modeling and large sample data analysis.
FORMER STUDENTS/POST-DOCS
Marcela Alfaro Córdoba, PhD, 2017
University of Costa Rica
Current position: Assistant Professor, Universidad de Costa Rica
University of Costa Rica
Current position: Assistant Professor, Universidad de Costa Rica
Neal Grantham, PhD, 2017
Thesis title : Statistical Methods for High-Dimensional Microbiome Data from Next Generation Sequencing Technology
Current position: Data Scientist, Phylogen
Thesis title : Statistical Methods for High-Dimensional Microbiome Data from Next Generation Sequencing Technology
Current position: Data Scientist, Phylogen
Ran (Jennifer) Wei, PhD, 2017
Thesis title : Bayesian variable selection using continuous shrinkage priors for nonparametric models and non-Gaussian data
Current position: Research Scientist, Eli Lilly
Thesis title : Bayesian variable selection using continuous shrinkage priors for nonparametric models and non-Gaussian data
Current position: Research Scientist, Eli Lilly
Yen-Ning Huang, Post-doc, 2015-2017
Current position: Assistant Professor, University of Indiana
Current position: Assistant Professor, University of Indiana
Colin Peterson, PhD, 2016
Thesis title : Mean-Dependent Spatial Prediction Methods with Applications to Materials Sciences
Current position: Post-doc, US EPA
Thesis title : Mean-Dependent Spatial Prediction Methods with Applications to Materials Sciences
Current position: Post-doc, US EPA
Kim Kaufield, Post-doc, 2015-2017
Current position: Research Scientist, Los Alamos National Lab
Current position: Research Scientist, Los Alamos National Lab
Samuel Morris, PhD, 2016
Thesis title : Spatial Methods for Modeling Extreme and Rare Events
Current position: Statistician, Google
Thesis title : Spatial Methods for Modeling Extreme and Rare Events
Current position: Statistician, Google
Yan (Dora) Zhang, PhD, 2016
Thesis title : Bayesian Methods for High-dimensional Data
Current position: Post-doc, Johns Hopkins University
Thesis title : Bayesian Methods for High-dimensional Data
Current position: Post-doc, Johns Hopkins University
Alfredo Farjat, PhD, 2015
Thesis title : Optimal Seed Deployment under Climate Change using Spatial Models and Prediction of Genetic Merit in Loblolly Pine
Current position: Biostatistician, Duke University
Thesis title : Optimal Seed Deployment under Climate Change using Spatial Models and Prediction of Genetic Merit in Loblolly Pine
Current position: Biostatistician, Duke University
Ryan Parker, PhD, 2015
Thesis title : Efficient Computational Methods for Large Spatial Data
Current position: Senior Research Statistician Developer, JMP; Statistician, Portland Trail Blazers
Thesis title : Efficient Computational Methods for Large Spatial Data
Current position: Senior Research Statistician Developer, JMP; Statistician, Portland Trail Blazers
Earvin Balderama, Post-doc, 2014-2015
Current position: Assistant Professor, Loyola University
Current position: Assistant Professor, Loyola University
Elizabeth Mannshardt, Post-doc, 2012-2015
Current position: Statistician, US EPA
Current position: Statistician, US EPA
Ander Wilson, PhD, 2014
Thesis title : Advances in Bayesian Methods for High-Dimensional Environmental Data
Current position: Assistant Professor, Colorado State University
Thesis title : Advances in Bayesian Methods for High-Dimensional Environmental Data
Current position: Assistant Professor, Colorado State University
Luke Smith, PhD, 2014
Thesis title : Bayesian Quantile Regression in Biostatistical Applications
Current position: Research Scientist, Amazon
Thesis title : Bayesian Quantile Regression in Biostatistical Applications
Current position: Research Scientist, Amazon
Laura Boehm Vock, PhD, 2013
Thesis title : Bridge Models and Variable Selection Methods for Spatial Data
Current position: Assistant Professor, Gustavus Adolphus College
Thesis title : Bridge Models and Variable Selection Methods for Spatial Data
Current position: Assistant Professor, Gustavus Adolphus College