[Talk] Naitee Ting: Dose-Response Modeling for Phase II Decision-Making

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 […]

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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 […]

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[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 […]

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[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 […]

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[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 […]

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[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 […]

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[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 […]

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[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 […]

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[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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[Talk] Laura Forastiere: Maximizing effectiveness under constrained resources through policy targeting under heterogeneous spillover effects

When: Friday, March 27, 3:00 PMWhere: Tyler 055 AbstractIn many empirical settings, individuals are interconnected, and an individual’s outcome may depend on the treatment of others, leading to interference. When interference is heterogeneous, treating individuals with specific characteristics can influence the population average outcome differently, either through their direct response or their impact on others. […]

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