The Department of Computer Science and Statistics advances computing, data, and statistics through education and research. Our students learn by doing and graduate ready to shape the future of artificial intelligence, cybersecurity, and data science
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[Talk] Charvi Rastogi – Going PLACES: Participatory Localized Red Teaming for Text-to-Image Safety in the Global South (11/2/2026) - When: Friday, November 6, 1:00 PMWhere: Tyler 106 AbstractDespite the global deployment of text-to-image (T2I) models, their safety frameworks are largely calibrated to a Western-centric default, creating significant vulnerabilities for the rest of the world. To embrace cultural pluralism and bring historically under-represented perspectives in T2I safety, we conduct localised community-centered red teaming studies in […]
[Talk] Jackson Lautier: Discrete Time-to-Event Regression Analysis Under Left-Truncation with Applications to Consumer Finance (10/28/2026) - When: Friday, October 30, 1:00 PMWhere: Tyler 106 AbstractAsset-backed securities (ABS) play a vital role in financing American consumer automobile debt. Recently, economic analysis into ABS has benefited from the public release of data, which provides a new, rich source of loan level consumer auto loan information. Because this loan lifetime data is discrete-time and […]
[Talk] Yue Du and Nathan Lally — Data Science in Insurance: Connecting Statistical Methods, AI, and Industry Applications (10/9/2026) - When: Friday, October 16, 1:00 PM Where: Tyler 106 AbstractIn this seminar, we will share what data science looks like in practice at Munich Re and HSB and how the skills students develop in statistics and computer science translate into industry applications. We will introduce Munich Re and HSB, discuss the role of data scientists […]
[Talk] ML Tlachac — Bots and Bias: Technology Acceptance and Digital Depression Datasets (10/2/2026) - When: Friday, October 9, 1:00 PM Where: Tyler 106 AbstractAs AI chatbots are increasingly being used in education contexts and digital modalities are increasingly being used in depression assessment research, it is important to understand human perspectives and bias. My research started in two main areas: exploring AI chatbot acceptability at Bryant University and comparing […]
[Talk] Katherine Kinnaird: Music, Data Science, Meal Planning, and Topology connect us all (9/25/2026) - When: Friday, October 2, 1:00 PM Where: Tyler 106 AbstractData science seems to be everywhere these days. This talk will discuss examples of data science being applied to music and meal planning, as well as introducing publicly available resources for exploring culturally motivated data. This talk will delve deeply into the multidisciplinary field of Music […]
NSF Awards $4.8 Million to URI Cybersecurity Center Under Victor Fay-Wolfe (9/24/2026) - The University of Rhode Island’s Digital Forensics and Cybersecurity Center, part of the Department of Computer Science and Statistics, has been awarded two NSF grants totaling $4.8 million. The funding will support scholarships for students in the Professional Science Master’s in Cybersecurity program and the new Securing Artificial Intelligence track. The first award, a three-year, […]
[Talk] Naitee Ting: Dose-Response Modeling for Phase II Decision-Making (9/23/2026) - When: Friday, September 25, 1:00 PMWhere: Tyler 108 AbstractIn the process of medicine discovery and development, understanding the dose-response relationship is one of the most important and challenging tasks. It is critical to identify the right range of doses in early stages of medicine development so that Phase III trials can be properly designed to […]