student advising

PhD students

• Shuangjie Zhang (PhD candidate): 2020 Summer - present

Dissertation Topic: Bayesian Joint Modeling of High-dimensional Dependent Count Data with Application to Microbiome Study

• Yunzhe Li (PhD candidate): 2019 Fall - present (co-advising with Prof. A. Kottas)

Dissertation Topic: Joint Model for Recurrent Events and Survival Times Using Bayesian Nonparametric Approaches

• Arthur Lui (PhD):  2017 Winter – 2021 Spring, Statistician at Los Alamos National Lab 

Dissertation: BAYESIAN MODELING FOR HETEROGENEOUS MULTIVARIATE DATA 

• A Bayesian Feature Allocation Model for Identifying Cell Subpopulations Using Cytometry Data 

• A Bayesian Model for Identifying Distinct Features that Define Cell Subpopulations from Cytometry Data

• A Bayesian Differential Distribution Approach for Zero-inflated Data with Applications to Cytometry Data

• Kurtis Shuler (PhD):  2015 Fall – 2020 Spring,  Statistician at Sandia National Lab

Dissertation: BAYESIAN HIERARCHICAL MODELS FOR COUNT DATA

• Bayesian Sparse Multivariate Regression with Asymmetric Nonlocal Priors for Microbiome Data Analysis

• A Bayesian Nonparametric Analysis for Zero Inflated Multivariate Count Data with Application to Microbiome Study

• Bayesian Graphical Modeling of Microbial Community Composition

MS Students

• Meghan Rice (MS, Spring 2021): 

• Capstone project: "Implementation of a nonparametric Bayesian model with patient-specific covariates to estimate survival in medical applications"

• Clayton Olson (MS, Spring 2021): 

Capstone project: "A Bayesian Bivariate Probit Model For Phase I-II Dose Finding Trials"

• Tianyao Liu (MS, Spring 2016)

Capstone project: "An Inference for Tumor Heterogeneity Using a Bayesian Feature Allocation Model"