What do abstract algebra, computational geometry, Renaissance music analysis, and computational chemistry have in common? They all reflect a commitment to applying theoretical concepts to practical challenges. In this panel, we will share our unique research experiences, illustrating how interdisciplinary collaboration can enhance problem-solving in mathematics, computer science, data science, and chemistry. We aim to showcase the value of diverse perspectives in addressing real-world issues by discussing our findings and the obstacles we faced. Join us as we explore how our individual projects contribute to a greater understanding of complex problems. We look forward to sharing the insights and experiences we’ve developed during our summer research.

Moderator: Margaret Robinson, Julia and Sarah Ann Adams Professor of Mathematics

Optimizing Transfer Learning for Modeling Correlated Reactions on Quantum Hardware
Shirui Li ’25, Chemistry, & Math double major

Research on the intersection of Math and Computer Science: Computational Geometry
Olga Golovatskaia ’25, Computer Science & Mathematics double major

Exploring Lie Superalgebras and Orthosymplectic Varieties
Tamier Baoyin ’25, Math major

Exploring Musical Quotations in Renaissance Imitation Mass Composition
Eonbi Choi ’25, Statistics major & Computer Science minor