Dr. Deepak Agarwal has been selected as a recipient of the Distinguished Alumni Award of the Department of Statistics at UConn. He is Chief AI Officer at LinkedIn and a Distinguished Fellow at Fellows Fund. He will visit our department in Spring 2026. Congratulations!
Author: Mingye
Dr. Rongwei (Rochelle) Fu (Ph.D. 2003) has been selected as a recipient of the Distinguished Alumni Award of the Department of Statistics at UConn.
Dr. Rongwei (Rochelle) Fu has been selected as a recipient of the Distinguished Alumni Award of the Department of Statistics at UConn. She is Director of the Biostatistics Education Program and Professor of Biostatistics in the School of Public Health at Oregon Health & Science University (OHSU). She will visit our department in Spring 2026. […]
Statistics Colloquium: Shuangge Ma, Professor, Yale University, Cancer Human Disease Networks (cHDNs) via Deep Learning SEER-Medicare
Title: Cancer Human Disease Networks (cHDNs) via Deep Learning SEER-Medicare Presented by Shuangge Ma, Professor, Yale School of Public Health DATE: Friday, December 5, 2025, 10:00 AM, AUST 247 Meeting Link: WebEx link Coffee will be available at 9:30 AM in the Noether Lounge (AUST 326) Abstract: Cancer patients often also suffer from other disease […]
PhD students Alokesh Manna & Xiaohui Yin receive poster awards at the 2025 DahShu Data Science Symposium.
PhD students Alokesh Manna & Xiaohui Yin receive poster awards at the 2025 DahShu Data Science Symposium. Alokesh Manna – ‘Point process Modeling of Accidentals in Forensic Shoeprint Data’ Xiaohui Yin – ‘The Blessing of Multiple Outcomes: Modeling with Incomplete Essential Covariates in Electronic Health Records’ Congratulations!
Statistics Colloquium: Kylie Anglin, Assistant Professor, University of Connecticut, Improving the Alignment between Human and Large Language Model Classifications: An Empirical Assessment of Prompt Engineering for Construct Identification
Title: Improving the Alignment between Human and Large Language Model Classifications: An Empirical Assessment of Prompt Engineering for Construct Identification Presented by Kylie Anglin, Assistant Professor, Research Methods, Measurement, and Evaluation, Department of Educational Psychology, University of Connecticut Date: Friday, November 7, 2025, 1:00 PM, AUST 344 Link: WebEx Link Coffee will be available at […]
RMME/STAT Interdisciplinary talk: Chuck Huber, StatCorp, Item Response Theory (IRT), Introduction to Bayesian Statistics, Bayesian IRT, & Machine Learning in Stata
Title: Item Response Theory (IRT), Introduction to Bayesian Statistics, Bayesian IRT, & Machine Learning in Stata presented by Chuck Huber, StatCorp Date: Friday, 10/24/25, 10am – 3pm, ET, HALL 104. Meeting Link: Link WebEx Meeting Number: 2633 977 5419. Password: RMMESTAT Abstract: Item Response Theory: In this talk, I introduce the concepts and jargon […]
Dr. Sujit Ghosh, ’96 PhD Receives Prestigious VAIBHAV Fellowship Award.
Dr. Sujit Ghosh, ’96 PhD Receives Prestigious VAIBHAV Fellowship Award. See for detail, https://statistics.sciences.ncsu.edu/2025/10/16/dr-sujit-ghosh-receives-prestigious-vaibhav-fellowship-award/
Statistics Colloquium: Alden Green, Assistant Professor, Johns Hopkins University, The High-Dimensional Asymptotics of Principal Components Regression
Title: The High-Dimensional Asymptotics of Principal Components Regression Presented by Alden Green, Assistant Professor, Department of Applied Mathematics and Statistics, Johns Hopkins University DATE: Wednesday, October 22, 2025, 3:30 PM, AUST 434 WebEx link: Link Coffee will be available at 3:00 PM in the Noether Lounge (AUST 326) Abstract: We study principal components regression (PCR) […]
Statistics Colloquium: Lin Wang, Assistant Professor, Purdue University, Influence-Guided Subsampling under Measurement Constraints
Title: Influence-Guided Subsampling under Measurement Constraints Presented by Lin Wang, Assistant Professor, Department of Statistics, Purdue University DATE: Wednesday, October 15, 2025, 3:30 PM, AUST 434 Webex link: Link Coffee will be available at 3:00 in the Noether Lounge (AUST 326) Abstract: Collecting labels for every point in a large dataset is often impractical due […]
Statistical Colloquium: Spencer Wadsworth, Postdoctoral Scholar, University of Connecticut, Constructing a Disease Outbreak Forecast Ensemble via Bayesian Gibbs Posterior Stacking
Title: Constructing a Disease Outbreak Forecast Ensemble via Bayesian Gibbs Posterior Stacking Presented by Spencer Wadsworth, Postdoctoral Scholar, University of Connecticut DATE: Wednesday, October 8, 2025, 3:30 PM, AUST 434 Webex link: Link Coffee will be available at 3:00 in the Noether Lounge (AUST 326) Abstract: In collaborative forecast projects, the combining of multiple probabilistic […]