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
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 […]
[Read More]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” […]
[Read More]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: […]
[Read More]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 […]
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