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

Xia Wang (Ph.D. 2009 (Statistics) and 2007 ( Economics )has become a Fellow of the Graduate College of the University of Cincinnati for her outstanding scholarly attainment. For details, see Fellows of the Graduate College – University of Cincinnati: Founder of Co-op, Leader in Co-op | University of Cincinnati

Title: Robust Statistical Methods for Noisy Complex Network Data Presented by  Wenrui Li, Assistant Professor; University of Connecticut DATE: Thursday, May 7, 2026; Time: 1:00 – 2:00 pm, 1681 LGRT Meeting Link: TBD Bio: Wenrui Li is Assistant Professor in the Department of Statistics at the University of Connecticut, and prior to this, a postdoctoral […]

A new study by Alokesh Manna, Professor Neil Spencer and Distinguished Professor Dipak K. Dey, all from UConn’s Department of Statistics, introduces a novel Bayesian statistical model that substantially improves how forensic scientists evaluate shoe print evidence, which has been featured in media. Please see this link: click here.

Title: From Prediction to Explanation: Explainable Machine Learning for 30-Day Heart Failure Readmission Presented by Minjung Kim, University of Connecticut School of Medicine DATE: Wednesday, April 29, 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: Minjung Kim, PhD, is a faculty […]

Title: Impactful Collaborative Research: From rhBMP-2 to Ferabright™ Presented by Rongwei (Rochelle) Fu, Professor of Biostatistics, Oregon Health & Science University-Portland State University Recipient of the 2025 UConn Statistics Department Distinguished Alumnus Award DATE: Wednesday, April 22, 2026, 3:30 PM, AUST 434 Meeting Link: WebEx link Coffee will be available at 3:00 PM in the Noet…

Title: The outperformance of machine learning by human intuition: resolving a paradox with unmeasured confounding Presented by  Aaron Sarvete, Assistant Professor; University of Massachusetts, Amherst DATE: Wednesday, April 15, 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: Dr. Sarvet is an […]

Isabelle Perez, a PhD student in our department has been awarded the NSF Graduate Research Fellowship! Congratulations!

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!