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: […]
Author: Mingye
Statistics Colloquium: Fabrizio Ruggeri, CNR-IMATI, Adversarial Classification
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 in […]
Statistics Colloquium: Lucas Da Cunha Godoy, Postdoctoral Researcher, University of California, Santa Cruz
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 […]
Interdisciplinary Seminar: Luke Miratrix, Professor, Harvard University, The many choices for estimating Treatment Effects in Blocked, Cluster-Randomized Trials
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 […]
Statistics Colloquium: Zan Li, Nankai University, Statistical Inference of Reliability for Lifetime Delayed Degradation Process with Heterogeneity
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 […]
Statistics Colloquium: Michelle Riordan-Nold, Executive Director, CTData, From Public Data to Insight: CTData Makes Sense of Data
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
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
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!
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)
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!