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.


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:


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

Samiran Ghosh ’06 PhD selected as a 2024 ASA Fellow.

Samiran Ghosh (Ph.D. 2006) became a fellow of ASA, this year and the following citation is provided for being recognized as an ASA Fellow: “For outstanding contributions to statistical methodology; especially in Non-inferiority, Adaptive, and Bayesian Clinical Trials; for being an exemplary ambassador for statistics in the scientific community; for continued excellence in biostatistical teaching […]

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Prof. Ming-Hui Chen named AAAS Fellow

Prof. Ming-Hui Chen named AAAS Fellow. For more information, please visit this link: https://today.uconn.edu/2024/04/six-uconn-faculty-members-named-aaas-fellows/. Congratulations!

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Interdisciplinary Seminar: Dr. Dale Zimmerman, University Of Iowa

In Defense Of Unrestricted Spatial Regression Presented by Dr. Dale Zimmerman, University Of Iowa Friday, 04/12/2024, 11am ET In-Person: AUST 202 Virtual: http://tinyurl.com/rmme-Zimmerman Meeting # 2632 213 9929 Password: RMMESTAT Join by video system: Dial 26322139929@uconn cmr.webex.com You can also dial and enter your meeting number. Join by phone: +1-415-655-0002 US Toll Access code: […]

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Statistics Colloquium: Abolfazl Safikhani, George Mason University

Change Point Detection for High-dimensional Time Series Models With Local Dynamics Presented by Abolfazl Safikhani, Department of Statistics, George Mason University Friday, April 5 2024 10:00 AM-11:00 AM ET AUST 202 Webex Meeting Link Coffee will be served at 9:30 am in the Noether Lounge (AUST 326) Sequential monitoring of multivariate time series to find […]

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