Dominguez Center for Data Science

All posts by Claire Cahoon

Friday, July 24th, 2026

DCDS Class of 2025 Showcase: One Year Out

What have 2025 graduates who participated in the JoAnn Patrick-Ezzell ’75 & Andrew Ezzell Data Science Student Fellows Program been doing since they graduated? We talked with eight amazing alumni and invited them to share what they have been up to and to reflect on how DCDS impacted their career trajectories. Kelly Peterson ’25 Life Science Consulting Analyst, Axtria “Being a Data Science Student Fellow gave me the opportunity to analyze real-world datasets, collaborate with faculty, and strengthen my skills in Excel, Python, and presenting— skills I use every day in my current role. The fellowship also helped me realize […]

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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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