News
Recent Headlines
- 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 […]Posted on April 19, 2026
- UConn/UMass Joint Colloquium: Aaron Sarvet, Assistant Professor, UMass, The outperformance of machine learning by human intuition: resolving a paradox with unmeasured confoundingTitle: 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 […]Posted on April 13, 2026
- 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!Posted on April 13, 2026
- Prof. Xiaojing Wang receives the 2026 Expanding Research Impact Award!Prof. Xiaojing Wang receives the 2026 Expanding Research Impact Award ! Congratulations!Posted on April 2, 2026
- Robert W. Makuch Distinguished Lecture in Biostatistics: Bhramar Mukherjee, Professor, Yale University, The Importance of Statistical Thinking in an AI-Augmented WorldTitle: 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 […]Posted on March 31, 2026
- Statistics Colloquium: Yichi Zhang, Assistant Professor, Indiana University Bloomington, Random-walk Debiased Contextual Preference Inference for Large Language Model EvaluationTitle: 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, […]Posted on March 31, 2026
- Statistics Colloquium: Dingyi Wang, Chinese Academy of Sciences, Stratification and Antithetic Mechanisms for SubsamplingTitle: 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 […]Posted on March 23, 2026
- 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.Posted on March 14, 2026
- Statistics Colloquium: Oshani Seneviratne and Fernando Spadea, Rensselaer Polytechnic Institute, Predicting Risk in Web3: From Crypto Social Signals to DeFi Lending OutcomesTitle: 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: […]Posted on February 25, 2026
- Statistics Colloquium: Fabrizio Ruggeri, CNR-IMATI, Adversarial ClassificationTitle: 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 […]Posted on February 25, 2026