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 […]
Events
Statistics Colloquium: Bayesian Causal Inference with Uncertain Physical Process Interference, by Corwin Zigler (Brown University)
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. […]
Interdepartmental Colloquium: From Wearable Data to Health Insights: Understanding Human Physiology Through Distributions, by Sujit K Ghosh(North Carolina State University)
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. […]
Statistics Colloquium: Spectral Methods for signal recovery in multi-modal problems, by Subhabrata Sen(Harvard University)
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 […]
Paper of the Month: October 2026
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 […]
Statistics Colloquium: Assessing Responder Analyses for Patient- Reported Outcomes: Maximum Responder Threshold and Effect, by Joseph C. Cappelleri(Pfizer; University of Connecticut)
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” […]
Statistics Colloquium: From Stationary Points to Global Structure: Constrained Maximum Likelihood Estimation and Haplotype Phasing, by Derek Aguiar (UConn)
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: […]
Statistics Colloquium: Is There an AI Bubble? Robust Date-Stamping for Periods of Exuberance, by Abir Sakar (Cornell)
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 […]
Statistics Colloquium: Min Jung Kim, UConn Health, From Prediction to Explanation: Explainable Machine Learning for 30-Day Heart Failure Readmission
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 […]
Statistics Colloquium: Rongwei (Rochelle) Fu, Oregon Health & Science University-Portland State University, Impactful Collaborative Research: From rhBMP-2 to Ferabright™
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 Noether […]