Dominguez Center for Data Science

All posts by Claire Cahoon

Tuesday, May 5th, 2026

Bucknell Faculty Paper accepted at AISTATS 2026

It’s all in the Exponential Family: An Equivalence Between Maximum Likelihood Estimation and Control Variates for Sketching Algorithms As part of the Bucknell Physics and Astronomy summer research program, the work of Keegan Kang (Assistant Professor of Statistics), Kerong Wang ’24, and their collaborators was accepted to AISTATS 2026. The Bucknell Physics and Astronomy summer research program is an annual program for student researchers working with faculty members in Physics and Astronomy, as well as students from Mathematics and Statistics by invitation. This project was first proposed by Devon Zhang ’23 to investigate the performance of estimators in sketching algorithms, […]

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Thursday, April 30th, 2026

Spring 2026 JoAnn Patrick-Ezzell ’75 & Andrew Ezzell Data Science Student Fellows Showcase

Congratulations to all of the Spring 2026 Data Science Student Fellows! On April 27, 2026, 38 students presented their 16 data and AI projects in the Spring ’26 Showcase for the JoAnn Patrick-Ezzell ’75 & Andrew Ezzell Data Science Student Fellows Program through the Dominguez Center for Data Science.  Each of these interdisciplinary student teams collaborated with project stakeholders and data science mentors to tackle a real-world data science project.  Working across a wide range of disciplines, the students addressed data-centric questions with visualizations, maps, predictive models, surveys, text corpora, dashboards, and much more. Thank you to JoAnn Patrick-Ezzell, Andrew […]

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Monday, November 10th, 2025

Data Science in the Age of AI: AI is the Engine & You are the Engineer

By Sophie Yang ’27 The Dominguez Center for Data Science recently hosted an engaging talk by Dr. Chester Ismay, who shared how generative AI tools are transforming complex data science projects. He highlighted how data science bridges mathematics, computing, and domain expertise, while emphasizing the importance of clear communication, ethical responsibility, and reproducibility in analytical work. Drawing from his own projects and experiences, Dr. Ismay encouraged students to cultivate curiosity, critical thinking, and adaptability as technology continues to evolve. The session concluded with an open Q&A that deepened participants’ understanding of how students and data professionals can use generative AI […]

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