Dominguez Center for Data Science

All posts by Claire Cahoon

Tuesday, August 18th, 2026

Sushma Upadhayay, Winner of the Norman Beery Memorial Award

by Sushma Upadhayay ’27 I am a senior at Bucknell pursuing a B.S. in Computer Science and a B.A. in Data Science. What keeps me in this field is how fast it moves. There is always a new tool, method, or problem that pushes me past what I already know. After graduation, I plan to work as a data scientist. I have not decided on a sector yet, though I enjoyed working towards MedTech. Outside of academics, I play tennis with friends whenever I can. I joined DCDS in spring 2026, working under the mentorship of Kelly McConville on Finding […]

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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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