Outreach and Engagement
The Department of Statistics is an active community that engages students and lifetime learners at UConn and beyond.
We contribute to the field of statistics by hosting events and participating in professional organizations. We also share our know-how with UConn researchers in other fields – and enhance the University’s research profile in the process.
Current Initiatives
Education and Training
We offer general education and research courses that serve students in virtually all majors at UConn. Members of the Department also participate in UConn programs that benefit Connecticut students and educators.
- Our UConn Pre-College Summer course on data science exposes incoming first-year students to the essential components and computing skills needed for data science.
- We train UConn Early College Experience instructors, holding certification workshops for participating high school teachers each summer.
Consulting
We provide services to researchers and employees at UConn to help them better understand statistical concepts and apply them to their work. For example, our faculty and graduate students contribute to:
- Statistical Consulting Services, which advises researchers from other disciplines about the collection and analysis of data.
- EnergyStats, a collaboration with UConn's Utility Operations & Energy Management. Using statistical modeling and visualization of UConn's energy consumption data (either real-time high-frequency or monthly), EnergyStats can detect anomalous consumption behavior and to predict future usage.
Community Engagement
We maintain relationships with professional organizations and area companies and institutions. These connections open doors for our students and help us contribute to our field. Examples include:
- We are an active member of the American Statistical Association (ASA) Connecticut chapter and a founding member of the New England Statistical Society’s annual symposium.
- We host the Pfizer Colloquium each year in partnership with the ASA and Pfizer Inc.
Events
The Department of Statistics regularly sponsors and hosts conferences, colloquia, lectures, and seminar series where scholars of all levels can learn and collaborate. Many of these events are local, affordable, and accessible, allowing students to participate and in some cases present their own research. Examples include:
Recent Events
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 Professo, 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 […]
[Read More]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 […]
[Read More]Statistics Colloquium: Shuangge Ma, Professor, Yale University, Cancer Human Disease Networks (cHDNs) via Deep Learning SEER-Medicare
Title: Cancer Human Disease Networks (cHDNs) via Deep Learning SEER-Medicare Presented by Shuangge Ma, Professor, Yale School of Public Health DATE: Friday, December 5, 2025, 10:00 AM, AUST 247 Meeting Link: WebEx link Coffee will be available at 9:30 AM in the Noether Lounge (AUST 326) Abstract: Cancer patients often also suffer from other disease […]
[Read More]Statistics Colloquium: Alden Green, Assistant Professor, Johns Hopkins University, The High-Dimensional Asymptotics of Principal Components Regression
Title: The High-Dimensional Asymptotics of Principal Components Regression Presented by Alden Green, Assistant Professor, Department of Applied Mathematics and Statistics, Johns Hopkins University DATE: Wednesday, October 22, 2025, 3:30 PM, AUST 434 WebEx link: Link Coffee will be available at 3:00 PM in the Noether Lounge (AUST 326) Abstract: We study principal components regression (PCR) […]
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