– Dissertation Tentative Approval page no longer required

Greetings all.

Effective 11/1/2020 Doctoral student’s no longer need to complete and submit the Tentative Approval Page prior to their defense.  If a student’s committee requires a working copy of the dissertation prior to the final defense that should only be sent to the student’s committee, it should not be sent to the registrars office, the graduate school, or degree audit.

Ph.D. students are still required to announce their defense on the University Events Calendar at least two weeks prior to the date as they have always done.  The instructions to post their defense announcement can be found here as the first item,

Additionally, over the summer it was approved to remove the Submission Checklist as part of the final paperwork submission as well.  Currently the three items students need to submit after a successful dissertation defense are a) Final Exam Report,  b) Dissertation Approval page and c) Survey of Earned Doctorates completion certificate.

Both the Submission Checklist and Tentative Approval Page have been removed from the Registrar’s Office and Graduate School websites.  Please refer to this link going forward,     It contains all the relevant information and form links a student or faculty member may need in order finalize their academic career.

Should you have any questions please reach out to Anthony Luis

– 2020 New England Rare Disease Statistics (NERDS) Webinar Series

The New England Statistical Society (NESS), alongside the 2020 NERDS Organizing Committee, is pleased to announce that we will be hosting a series of virtual webinars (Nov-Dec) focused on the current state of statistical and clinical research in rare disease drug development. We had a very successful NERDS 2019 event last year on Oct 11, where we had over 160 participants get together in Boston. This year we aim to keep the conversation going with several webinars that are aimed to keep our rare disease community connected and informed of recent advances and research.

Registration is now open at https://nerds.nestat.orgOnce you register, you will receive notifications and invitations to future webinars, as well as all NERDS announcements.

If you have any question, please contact program co-chairs Jeffrey Palmer ( and Daniel Meyer (, or NESS Secretary Kun Chen (

Please help to spread the words, and we look forward to your participation!

Promotional flyer in PDF.

– 2020 UConn Sports Analytics Symposium (October 10)

The UConn Sports Analytics Symposium (UCSAS) focuses specifically on students (graduate, undergraduate, and high school) who are interested in sports analytics. Organized by the UConn Statistical Data Science Lab of the Department of Statistics UCSAS aims to: 1) showcase sports analytics to students at an accessible level; 2) train students in data analytics with application to sports data; and 3) foster collaboration between academic programs and the sports industry.

Four Keynote Presentations

• Thompson Bliss, Data Scientist, National Football League

Estimating the Impact of Travel, Rest, and Playing at Home in the National Football League

• Ron Yurko, PhD Candidate, Carnegie Mellon University

Going Deep: Models for Continuous-Time Within-Play Valuation of Game Outcomes in American Football with Tracking Data

• Stephanie Kovalchik, PhD, Senior Data Scientist at Zelus Analytic

Making the Intangible Tangible: Using Mixture Models for Estimating Latent Quantities in Sports

• ESPN Sports Analytics Team, ESPN

Redesigning NBA Basketball Power Index

Poster Session

A poster session is scheduled for 10:50–12:50. We invite submissions from all, especially students (high school, undergraduate, or graduate), with interesting works on any topics of sports analytics. The submission deadline is Friday, October 2, 2020.

A student poster award (possibly named after a sponsor), decided by the Student Poster Award Committee will be presented at the closing ceremony. The poster session also serves as a networking mixer. Grab a drink in front of your computer while enjoying the poster session and networking.

Training Workshops 

One-hour workshops are offered in two concurrent sessions of two hours (13:00- 15:00). Led by experienced graduate students from the Department of Statistics at UConn, they provide trainings from jumpstart to advanced sports analytic skills.

• Concurrent Session A (Introductory)

– 13:00–13:50: Introduction to R: Tuhin Sheikh

– 14:00–14:50: Introduction to Python: Jun (Bruce) Jin

• Concurrent Session B (Advanced)

– 13:00–13:50: Baseball Analytics with R: Dr. Zhe Wang

– 14:00–14:50: Data Visualization with R: Yiming Zhang


The symposium is open to anyone with an interest in sports analytics. The registration fee is minimal ($5) to get an accurate count for workshop planning and logistics.


We welcome and appreciate corporate and individual sponsorships of the 2020 UCSAS with any amount. Depending on the contribution level, sponsors will be recognized through customary channels. Please contact Dr. Jun Yan ( for details.

For further information, please visit our website.

– Marcos Prates, ’11 PhD was elected President of the Brazilian Statistics Association (ABE) for the 2020-2022 term.

Marcos Oliveira Prates, ’11 PhD and former Visiting Assistant Professor, was elected President of the Brazilian Statistics Association (ABE) for the 2020-2022 term.  Larissa Avila Matos and Celso Romulo Cabral, who were Visiting Research Scholars at UConn in 2015 and 2017, were elected Secretary and treasurer, respectively.

– Prof. Robert Aseltine (UCHC), Prof. Kun Chen (UConn) and Fei Wang (Cornell) have been awarded an NIH R01 grant.

Kun Chen, Robert Aseltine from UCHC, Fei Wang from Cornell Medicine have just been awarded an NIH grant on developing suicide risk algorithms for diverse clinical settings using data fusion (R01-MH124740). Project title: Developing Suicide Risk Algorithms for Diverse Clinical Settings using Data Fusion. This is a four-year multi-PI grant from 09/2020 to 06/2024. We propose to use data from a large multi-state health information exchange, integrated with hospital data from the State of Connecticut, to develop and test suicide risk algorithms using principles associated with statistical data fusion and transfer learning. We will also team up with local hospitals to develop clinical supporting tools.

UCONN today article can be found at the following links: UCONN today article