When: Friday, September 18, 2026 8:30am to 5:00pmWhere: Memorial Union Ballroom The URI CS Connect Day brings students, alumni, faculty, and industry partners together for conversations about computing careers, emerging technologies, recruiting, and the evolving role of AI in the workplace. Join us to discuss workplace readiness and explore career pathways in the computer science […]
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[Talk] MEDFORD: A human- and machine-readable metadata markup language
When: Friday, September 18, 1:00 PMWhere: Tyler 108 Abstract Reproducibility of research is essential for science. However, in the way modern computational biology research is done, it is easy to lose track of small, but extremely critical, details. Key details, such as the specific version of a software used or iteration of a genome can […]
Continue reading "[Talk] MEDFORD: A human- and machine-readable metadata markup language"B.S. redesigned with AI and Cybersecurity tracks
Starting Fall 2026, every computer science B.S. student will be able to choose a specialization in Artificial Intelligence, Cybersecurity, or General Computer Science. The modernized curriculum puts machine learning and data science in every student’s core, and a streamlined B.A. launches alongside it.
Continue reading "B.S. redesigned with AI and Cybersecurity tracks"[Talk] Ed Lamagna: From Punched Cards to Quantum Cryptography: A Personal Retrospective on 50 Years of Computer Science
When: Friday, April 24, 3:30 PMWhere: Beaupre 105 Abstract:Ed Lamagna, Professor of Computer Science at URI, has served on the URI faculty for 50 years, arriving in the Fall of 1976. His professional interests lie at the intersection of computer science and mathematics. In particular, Ed contributes to the fields of computer algebra and the […]
Continue reading "[Talk] Ed Lamagna: From Punched Cards to Quantum Cryptography: A Personal Retrospective on 50 Years of Computer Science"[Talk] Suzanne Mello-Stark: Election Security After 2020: Systems Held, Trust Didn’t
When: Friday, April 24, 3:30 PMWhere: Beaupre 105 Abstract:This talk argues that the biggest threat to elections today is not hacking, but doubt. Since 2020, election systems have become more secure. Paper ballots, risk-limiting audits, and improved coordination have made large-scale tampering with votes extremely difficult. But while the systems held, confidence in them did […]
Continue reading "[Talk] Suzanne Mello-Stark: Election Security After 2020: Systems Held, Trust Didn’t"[Talk] Hoon Cho: Enabling Collaborative Genomic Studies with Privacy
When: Friday, April 17, 3:00 PMWhere: Tyler 055 AbstractThe sensitive nature of genomic data poses major challenges for data sharing and collaboration in biomedicine. Traditional safeguards often lead to fragmentation across data silos, hindering large-scale analysis. I will describe our recent work on secure federated (SF) algorithms, which combine cryptography and distributed computation to enable […]
Continue reading "[Talk] Hoon Cho: Enabling Collaborative Genomic Studies with Privacy"[Talk] Anny-Claude Joseph: Causal Inference under Spatial Interference
When: Friday, April 10, 3:00 PMWhere: Tyler 055 AbstractEnvironmental epidemiologists are increasingly interested in establishing causality between exposures and health outcomes. A popular model for causal inference is the Rubin Causal Model (RCM). An important assumption under RCM is no interference, that is, the potential outcomes of one unit in the study are not affected […]
Continue reading "[Talk] Anny-Claude Joseph: Causal Inference under Spatial Interference"[Talk] Data and Discussion DS event: Academic and Professional Opportunities
When: Friday, April 3, 12-2 pm Where: LIB 166 Join us for an engaging Data Science event co-hosted with the Women in Data Science club. Our featured speaker is Alena Korshunova (MBA), a Principal Business Intelligence Analyst in Innovation, Analytics & AI at FM Global. She will share insights into her career path and experience […]
Continue reading "[Talk] Data and Discussion DS event: Academic and Professional Opportunities"[Talk] Ryan Fox-Tyler: AI Agents in Production: The Gap Between What’s Possible and What’s Deployable
When: Friday, April 3, 3:00 PMWhere: Tyler 055 AbstractEvery generation of developer infrastructure faces the same core tension: how do you give increasingly powerful systems the ability to act autonomously while maintaining the safety and governance guarantees that organizations require? For decades, this played out in distributed systems — microservices, data pipelines, and platform engineering […]
Continue reading "[Talk] Ryan Fox-Tyler: AI Agents in Production: The Gap Between What’s Possible and What’s Deployable"[Talk] LicketySPLIT: Near-Optimal Decision Trees in a SPLIT Second
When: Tuesday, March 31, 11:00 AMWhere: Bliss Hall 190 AbstractDecision tree optimization is fundamental to interpretable machine learning. The most popular approach is to greedily search for the best feature at every decision point, which is fast but provably suboptimal. Recent approaches find the global optimum using branch and bound with dynamic programming, showing substantial […]
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