Skip to main content
Skip to main menu Skip to spotlight region Skip to secondary region Skip to UGA region Skip to Tertiary region Skip to Quaternary region Skip to unit footer

Slideshow

Alumni


Yu Wang

PhD Date: Apr 2023
Job Placement: Initial Job Placement: AI – Machine Learning Engineer at LinkedIn
Dissertation/Thesis title: Domain Adaptation and Out-of-Distribution Detection on Network Data

Huimin Cheng

PhD Date: Apr 2023
Job Placement: Assistant Professor in Department of Biostatistics at Boston University
Dissertation/Thesis title: Statistical and Machine Learning Methods for Networks

Jiacheng Li

PhD Date: Mar 2023
Job Placement: Initial Job Placement: Wells Fargo
Dissertation/Thesis title: Forecasting U.S. Unemployment Rates Under A Bayesian Framework And Pseudo-Bayesian small area estimation And Spatial Pseudo-Bayesian small area estimation

Hongzhi Wang

PhD Date: Aug 2022
Job Placement: Initial Job Placement: Biostatistician, Thermo Fisher Scientific Inc.
Dissertation/Thesis title: Optimal Designs – Theory, Algorithms and Applications

Jialin Yang

PhD Date: Aug 2022
Job Placement: First job: Principal Data Scientist at Capital One
Dissertation/Thesis title: Hierarchical Bayesian Inference of Species Trees Using Phylogenomic Data

Subham Das

PhD Date: May 2022
Job Placement: Initial Job Placement: Sr. Associate Data Scientist, Travelers Insurance, USA; Current Affiliation: Quant Modeling Associate, JP Morgan Chase & Co, India
Dissertation/Thesis title: Sparse Multi-Way Canonical Correlation Analysis for High-Dimensional and Low Sample Size Data

Adrijo Chakraborty

PhD Date: Aug 2014
Job Placement: Initial Job Placement: Statistician, NORC at the U. of Chicago; Current Affiliation: Statistician (Visiting Associate), US Food and Drug Administration
Dissertation/Thesis title: Hierarchical Bayesian methods for survey sampling and other applications

Support us

We appreciate your financial support. Your gift is important to us and helps support critical opportunities for students and faculty alike, including lectures, travel support, and any number of educational events that augment the classroom experience. Click here to learn more about giving.

Every dollar given has a direct impact upon our students and faculty.