http://www.danielrkowal.com/about daily 0.75 2025-06-06 https://images.squarespace-cdn.com/content/v1/5805533c03596e738b64cc5d/1555598664043-9F609FAO2ZC2SJ724O25/IMG_0059.jpg About Hiking on a windy day in Alaska with my wife, Marsha. http://www.danielrkowal.com/publications daily 0.75 2026-03-31 http://www.danielrkowal.com/pagecv daily 0.75 2024-11-01 http://www.danielrkowal.com/teaching daily 0.75 2026-03-15 https://images.squarespace-cdn.com/content/v1/5805533c03596e738b64cc5d/1502461156879-JYQADFS0DLXMYQSCNJWQ/IMG_3329.jpg Teaching http://www.danielrkowal.com/home daily 1.0 2026-03-31 https://images.squarespace-cdn.com/content/v1/5805533c03596e738b64cc5d/f7f38fb5-4270-44ad-a75a-18d05672e312/DK_credit.jpg Home - Dan Kowal, PhD Daniel Kowal is an assistant professor in the Department of Statistics at Rice University. http://www.danielrkowal.com/people daily 0.75 2026-01-31 https://images.squarespace-cdn.com/content/v1/5805533c03596e738b64cc5d/f26584f0-99fd-4fc1-8467-bf5c8a583326/Jan+2026.jpeg People - Research group dinner 2026 January 2026 https://images.squarespace-cdn.com/content/v1/5805533c03596e738b64cc5d/c9a8f6e9-f0d0-410c-91e1-91aabf0edcb6/IMG_4731.jpg People - JSM 2024 Congrats Thomas and John on your student paper awards and successfully completing your PhDs! https://images.squarespace-cdn.com/content/v1/5805533c03596e738b64cc5d/adfa0883-1b28-45f6-be9a-cd76ee14a673/IMG_8760.jpg People - Graduation 2024 Congrats Yunan and Thomas! https://images.squarespace-cdn.com/content/v1/5805533c03596e738b64cc5d/92e91972-77c6-4a89-b180-5f7313fc9852/IMG_1769.jpg People - Graduation 2023 Congrats Chunshan, Brian, and Joe! https://images.squarespace-cdn.com/content/v1/5805533c03596e738b64cc5d/78ee53af-da56-47b1-9ce2-12ffb7bbdbe8/group_1-2023.png People - Research group celebration 2023 January 2023 https://images.squarespace-cdn.com/content/v1/5805533c03596e738b64cc5d/f496c6b1-b998-4e6e-88a5-3b097c260b16/Larin%2C+Konstantin%2C+portrait.jpg People - 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. Awards: HACASA Best Presentation Award LinkedIn https://images.squarespace-cdn.com/content/v1/5805533c03596e738b64cc5d/42e94994-5c9a-470e-96e4-72ff2b307f62/john_zito_picture.jpg People - John Zito PhD, 2024 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) Current position: Research Assistant Professor, Duke University Linkedin https://images.squarespace-cdn.com/content/v1/5805533c03596e738b64cc5d/e974792a-af53-411c-a459-42cbe58f1853/thomas.jpg People - Thomas Sun PhD, 2024 I'm interested in functional data analysis, specifically looking into Bayesian methods for regression with functional data. Awards: ASA SC/SG Student Paper Award (2024) Current position: Data Scientist, State Farm Linkedin https://images.squarespace-cdn.com/content/v1/5805533c03596e738b64cc5d/78e3099f-346b-4c6a-9b9f-d2f93171360d/Yunan_Pic.jpg People - 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 Linkedin | GitHub https://images.squarespace-cdn.com/content/v1/5805533c03596e738b64cc5d/4d8cb769-02de-49fc-bd28-964761cd6865/brian.jpg People - 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 Linkedin | GitHub | Website Twitter: @brian_el_rey https://images.squarespace-cdn.com/content/v1/5805533c03596e738b64cc5d/aa619685-047d-414a-8152-7262030dcd91/joe.jpg People - 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: Assistant Professor of Statistics and Data Science, Washington University in St. Louis Linkedin | Website https://images.squarespace-cdn.com/content/v1/5805533c03596e738b64cc5d/dcd77fc6-3823-440f-85f9-831075d20cfd/Inkoo.jpg People - Inkoo Lee 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: Assistant Professor of Epidemiology & Biostatistics, University of Georgia GitHub | Website https://images.squarespace-cdn.com/content/v1/5805533c03596e738b64cc5d/af351293-c0ae-4f8b-9e58-73d42394b3af/chunshan.jpg People - 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 Linkedin http://www.danielrkowal.com/grant-support daily 0.75 2025-12-23 http://www.danielrkowal.com/software daily 0.75 2025-08-19