Title: Graph-informed disease modeling from neuroimaging to EHR data Speaker:Yize Zhao, Associate Professor, Yale University. Time: Wednesday, November 18, 15:00 PM,  Austin 313. Link: https://teams.microsoft.com/meet/2262859116495162?p=kNRyhsdYOkh9DB3pbp Abstract: Neurodegenerative and complex chronic diseases emerge from interactions that span biological networks and populations. I will introduce two Bayesian frameworks that quantify these interactions, from within-brain propagation to across-disease […]

Title: Bayesian Causal Inference with Uncertain Physical Process Interference Speaker: Corwin Zigler, Professor at Brown University. Time: Friday, November 6, 10:00 AM,  Austin 326. Link: https://teams.microsoft.com/meet/210569911634778?p=Jo739SHWl5ZtUQBKJX Abstract: Causal inference with spatial environmental data is often challenging due to the presence of interference: outcomes for observational units depend on some combination of local and non-local treatment. […]

Title: From Wearable Data to Health Insights: Understanding Human Physiology Through Distributions Speaker: Sujit K Ghosh,Professor of Statistics, North Carolina State University. Time: Friday, October 30, 11:00 a.m. - 12:00 p.m,  Austin 340. Research Article: https://www.tandfonline.com/doi/full/10.1080/01621459.2025.2460232 Link: https://teams.microsoft.com/meet/210928975502383?p=leIjKWWrUALlnhshdo Abstract: Wearable devices provide unprecedented opportunities to understand how human physiology and behavior evolve in everyday life. […]

Title: Spectral Methods for signal recovery in multi-modal problems Speaker: Subhabrata Sen, Associate Professor in the Department of Statistics at Harvard University. Time: Wednesday, October 28, 3:30pm,  Austin 313. Link: https://teams.microsoft.com/meet/2881511424868238?p=Thv81ZoLZSNxUA9P90 Abstract: Motivated by multi-modal estimation, we will study a multi-view spiked random matrix model in which several noisy matrix observations contain correlated spikes. We […]

Once a month during the academic year, the statistics faculty select a paper for our students to read and discuss. Papers are selected based on their impact or historical value, or because they contain useful techniques or results. Diffusion Models Prof. Xingche Guo Friday, October 23 Austin 326 Noon to 1:00 PM AUST 326 Webex […]

Title: Assessing Responder Analyses for Patient-Reported Outcomes: Maximum Responder Threshold and Effect Speaker: Joseph C. Cappelleri, executive director of biostatistics at Pfizer Inc and adjunct professor of statistics at the University of Connecticut. Time: Wednesday, October 21, 3:30pm,  Austin 313. Link: https://teams.microsoft.com/meet/278035717198411?p=7rpRj5tHFgKYCtcTVV Abstract: Continuous outcomes are frequently dichotomized to classify subjects as “responders” or “nonresponders” […]

We are pleased to announce that Professor Xiaojing Wang has been appointed Faculty Fellow for Graduate Faculty Engagement and Governance at UConn’s Graduate School for a two-year term beginning in Fall 2026. In this university-wide role, Professor Wang will help strengthen faculty engagement, graduate student success, academic governance, and collaboration between graduate faculty and university […]

Title: From Stationary Points to Global Structure: Constrained Maximum Likelihood Estimation and Haplotype Phasing Speaker: Derek Aguiar, Associate Professor, School of Computing, University of Connecticut Time: 3:30 PM - 4:30 PM, Austin 105, Wednesday, September 30, 2026 Meeting Link: Teams link:https://teams.microsoft.com/meet/252251855569733?p=a6KfgGFRHzUozTnHL0 Coffee will be available at 3:00 PM in the Noether Lounge (AUST 326) Abstract: […]

UConn Ph.D. student Collin Nill was featured in the American Statistical Association’s Amstat News New Member Spotlight. In the interview, he discusses his interest in mathematics, statistical theory, and applying data science to real-world problems. Congratulations, Collin! Read the full interview  and view the Facebook spotlight.

Title: Is There an AI Bubble? Robust Date-Stamping for Periods of Exuberance Speaker: Abir Sakar, Ph.D Student, Cornell University Time: 3:30 PM - 4:30 PM, Austin 313 Coffee, meet and greet: 3:00 PM, Austin 326 Link: Teams Link, Meeting ID: 231 368 937 955 092, Passcode: hy97X4Ym Abstract: The recent surge in valuations of firms […]