Tinghua Chen
PhD Student, Informatics
Scalable Bayesian Semiparametrics, Causal Inference

Won Gu
PhD Student, Statistics
Sparse Bayesian Partially Identified Models, Theory of Identifiability, Measure Theory

Maxwell Konnaris
PhD Student, Bioinformatics and Genomics
Scale Reliant Covariance Estimation, Machine Learning Methods for Quantitative Sequence Analysis

Dharmik Rathod
Masters Student, Informatics
Bayesian Hierarchical Linear Models, PCR Bias

Manan Saxena
Masters (Graduated) and PhD Student (Current), Informatics
Scalable Bayesian Hierarchical Time-Series Models, Theory of Invariance in ML/AI, Functional Data Analysis

Ziang Shi
PhD Student, Informatics
Uncertainty Quantification in Black-Box ML/AI Models

Andrew Sugarman
MD and PhD Student, Bioinformatics and Genomics
Applications of Topological and Functional Data Analysis to Image Analysis in Oncology

Dr. Kyle McGovern, PhD
PhD in Bioinformatics and Genomics
Scale Reliant Inference, Bayesian-Frequentist Hybrid Methods, Microbiome and Gene Expression Studies

Dr. Michelle Nixon, PhD
Assistant Research Professor
Scale Reliant Inference, Genomics, Clinical Informatics

Zhao Ma
Masters of Science in Informatics
Scale Reliant Inference, High-Dimensional Covariance Estimation

Farhani Momotaz
Masters of Science in Informatics
Bayesian Decision Theory in Clinical Medicine