Join this panel as we delve into the diverse approaches to data visualization in STEM, particularly within theoretical mathematics, transportation engineering, and statistics. Panelists will share their experiences working with datasets to model trends, and discuss how they developed key skills in coding and data manipulation. The conversation will also expand to career preparation strategies, including networking, interviews, and writing for positions in STEM fields. This interdisciplinary exploration culminates in reflections on final summer research presentations and the valuable lessons learned from cross-field collaborations.

Moderator: Tori Day, Assistant Professor of Mathematics

Collisions, Chaos, and Curves: Exploring the Dynamics of Mathematical Billiards
Melanie Campanini ’25, Computer Science major, Mathematics minor

An Algorithm for Directly Forceable Graphs
Khanh Dinh ’27, Math and Data Science double major

From Noise to Knowledge
Shira Grossman ’27, Urban Studies major, Mathematics and Engineering Nexus

Data Science Career Path
Junru Zheng ’25, Statistics and Political Science double major