Kowal Research group
January 2023
phd students
John Zito
I am interested in Bayesian statistics and time series analysis, with an emphasis on using state space models to do sequential inference and probabilistic forecasting.
Awards: NSF-GRFP; Ken Kennedy Institute Computational Science and Engineering Graduate Recruiting Fellowship; SDSS Student & Early Career Travel Award (2023); ASA BES Student Paper Award (2024)
Thomas Sun
I'm interested in functional data analysis, specifically looking into Bayesian methods for registration and regression for functional data. From this we can better understand longitudinal data by studying the timing of certain events, such as the timing of a disease outbreak or the rest-activity cycle of an individual.
Konstantin Larin
I am interested in Bayesian statistical modeling. I'm currently exploring interpretable machine learning, specifically using local linear actions to extract information from complex Bayesian models.
Alumni
Yunan Gao
PhD, 2023
I am interested in Bayesian statistical modeling and inference with an emphasis on time series/functional data/spatial data analysis and its applications.
Awards: ASA SBSS Student Paper Award (2023); SDSS Student & Early Career Travel Award (2023); Rice Institute of Biosciences and Bioengineering Travel Award (2023)
Current position: Data Scientist, Google
Brian King
PhD, 2023
My current research focuses on time series modeling for discrete data, with emphasis on coherent probabilistic forecasting.
Awards: NSF-GRFP; ENAR Distinguished Student Paper Award (2022); ASA SBSS Student Paper Award (2022); ASA BES Student Paper Award (2022, declined)
Current position: Senior ML Research Engineer, Arm
Twitter: @brian_el_rey
Joe Feldman
PhD, 2023
I study Bayesian generative models for mixed data types with applications in synthetic data generation, inference with missing data, and quantile regression.
Awards: ASA HPSS Student Paper Award (2022); ASA SBSS Student Paper Award (2023); ASA SRM/GS/SS Student Paper Award (2023, declined); James R. Thompson Student Award (2023)
Current position: Postdoctoral Fellow, Duke University
Inkoo Lee, PhD
Postdoc, 2021 - 2023
My current research interests are in functional data analysis, variable selection, dependent data analysis, tensor data analysis, modeling multiple types of responses.
Current position: Postdoctoral Fellow, VCU Health
Chunshan Liu
PhD, 2022
My research focuses on developing Bayesian graphical models for massive data sets with complex structures, including time series, functional data, and data with outliers.
Awards: ASA BES Student Paper Award (2021)
Current position: Data Scientist, Lutron