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Tuesday, October 6th, 2026

Software Engineering & Aerospace: Career Pathways with Laurie Nelson ’82

By Sophie Yang ’27 The Dominguez Center for Data Science recently hosted a student lunch with Bucknell alumna Laurie Nelson, who shared stories and lessons from her more than 35-year career in engineering. After graduating from Bucknell in 1982 with a background spanning computer science, mathematics, and engineering, Laurie went on to work at Texas Instruments and later Lockheed Martin, where her career included software engineering, systems engineering, spacecraft development, and engineering leadership. One theme that came up throughout the conversation was being willing to take on work even when you do not have all the answers yet. Early in […]

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Wednesday, September 23rd, 2026

OIRA and Students Partner on Applied AI and Data Science Projects

2026 Summer Research Lab Participants Students: Patrick Baganski, Kerry O’Day and Alex Searle OIRA Staff: Kevork Horissian, Rita Liu, Zirui Wang and Jocelyn Zhao Every year, members of Bucknell’s Office of Institutional Research & Analytics (OIRA) work with Bucknell students on projects designed to address real questions facing the University. The Summer Research Lab gives students experience working with real business problems while applying research methods, data science, machine learning and AI. Students work with OIRA professionals throughout the entire process, from defining the problem and preparing the data to selecting analytical methods, evaluating results, and communicating findings. Peer and […]

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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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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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