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.
Author: Mingye
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 […]
UConn/UMass Joint Colloquium: Aaron Sarvet, Assistant Professor, UMass, The outperformance of machine learning by human intuition: resolving a paradox with unmeasured confounding
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 has been awarded the NSF Graduate Research Fellowship!
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!
Prof. Xiaojing Wang receives the 2026 Expanding Research Impact Award ! Congratulations!
Robert W. Makuch Distinguished Lecture in Biostatistics: Bhramar Mukherjee, Professor, Yale University, The Importance of Statistical Thinking in an AI-Augmented World
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 […]
Statistics Colloquium: Yichi Zhang, Assistant Professor, Indiana University Bloomington, Random-walk Debiased Contextual Preference Inference for Large Language Model Evaluation
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, […]
Statistics Colloquium: Dingyi Wang, Chinese Academy of Sciences, Stratification and Antithetic Mechanisms for Subsampling
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.
Congratulations to Lucy Liu, for being selected to receive a 2026 Summer Undergraduate Research Fund (SURF) Award.