Department of Statistics | College of Liberal Arts and Sciences | University of Connecticut

Prof. Xiaojing Wang receives the 2026 Expanding Research Impact Award ! Congratulations!

Title: The Importance of Statistical Thinking in an AI-Augmented World Presented by Bhramar Mukherjee, Anna M.R. Lauder Professor of Biostatistics and inaugural Senior Associate Dean of Public Health Data Science and Data Equity, Yale University DATE: Wednesday, April 8, 2026, 3:30 PM, AUST 434 Meeting Link: WebEx link Coffee will be available at 3:00 PM in […]

Title: Random-walk Debiased Contextual Preference Inference for Large Language Model Evaluation Presented by Yichi Zhang, Assistant Professor, Indiana University Bloomington DATE: Friday, April 3, 2026, 10:00 AM, AUST 313 Meeting Link: WebEx link Coffee will be available at 9:30 AM in the Noether Lounge (AUST 326) Abstract: Various large language models, such as ChatGPT, Claude, Llama, […]

Title: Stratification and Antithetic Mechanisms for Subsampling Presented by Dingyi Wang, Chinese Academy of Sciences DATE: Wednesday, March 25, 2026, 3:30 PM, AUST 434 Meeting Link: WebEx link Coffee will be available at 3:00 PM in the Noether Lounge (AUST 326) Abstract: Massive datasets present computational challenges for statistical estimation, making subsampling a critical tool for […]

Congratulations to Lucy Liu, for being selected to receive a 2026 Summer Undergraduate Research Fund (SURF) Award.

Title: Predicting Risk in Web3: From Crypto Social Signals to DeFi Lending Outcomes Presented by Oshani Seneviratne, Assistant Professor; Fernando Spadea, Ph. D Student, Rensselaer Polytechnic Institute DATE: Wednesday, March 11, 2026, 3:30 PM, AUST 434 Meeting Link: WebEx link Coffee will be available at 3:00 PM in the Noether Lounge (AUST 326) Bio:Oshani Seneviratne Bio: […]

Title: Adversarial Classification Presented by Fabrizio Ruggeri, Senior Fellow, CNR-IMATI. DATE: Friday, March 6, 2026, 12:00 PM, AUST 434 Meeting Link: WebEx link Abstract: In multiple domains such as malware detection, automated driving systems, or fraud detection, classification algorithms are susceptible to being attacked by malicious agents willing to perturb the value of instance covariates…

Title: Set-indexed random fields: Theory and practice Presented by Lucas Da Cunha Godoy, Postdoctoral Researcher, University of California, Santa Cruz. DATE: Friday, February 6, 2026, 10:00 AM, AUST 434 Meeting Link: WebEx link Coffee will be available at 9:30 AM in the Noether Lounge (AUST 326) Abstract: Many modern spatial analyses involve observations recorded over spatial […]

Title: The many choices for estimating Treatment Effects in Blocked, Cluster-Randomized Trials Presented by Luke Miratrix, Professor, Harvard University. DATE: Friday, January 30, 2026, 11AM, Gentry 144 Meeting Link: WebEx link Students are invited to a lunch with Dr. Miratrix after the talk. This lunch will also be held in Gentry 144. If you would like […]

Title: Statistical Inference of Reliability for Lifetime Delayed Degradation Process with Heterogeneity Presented by Zan Li, Assistant Professor, Nankai University. DATE: Wednesday, January 28, 2026, 3:30 PM, AUST 434 Meeting Link: WebEx link Coffee will be available at 3:00 PM in the Noether Lounge (AUST 326) Abstract: In industrial statistics, degradation models constitute a fundamental class […

Title: From Public Data to Insight: CTData Makes Sense of Data Presented by Michelle Riordan-Nold, Executive Director of the Connecticut Data Collaborative (CTData). DATE: Wednesday, January 21, 2026, 3:30 PM, AUST 434 Meeting Link: WebEx link Coffee will be available at 3:00 PM in the Noether Lounge (AUST 326) Abstract: Michelle Riordan-Nold, Executive Director of the […]

PhD student Shike Xu has been selected to receive the 2026 LiDS Student Paper Award for his paper entitled “A Bayesian stochastic order-based C-index to quantify the association between jointly modeled longitudinal biomarkers and survival data.” He will present his paper in the LiDS section sponsored topic-contributed session in JSM 2026.

The Statistics department thanks Tracy Burke for years of dedicated service! Wish you the best in the future!

Congratulations to our undergraduate student Lucy Liu, for being selected to the University Scholar Program!

PhD student Alokesh Manna received the 2026 M.N. Das Memorial Young Scientist Award by the Society of Statistics, Computer and Applications (SSCA) for his research paper entitled “Bayesian joint selection of features and autoregressive lags in time series models: theory and applications in environmental and financial forecasting”. Congratulations!

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!

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. […]

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. 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!

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 wi…