
Aerospace Engineering undergraduate with a strong foundation in mathematics, physics-based modeling, and computational problem-solving. Experienced in translating physical systems into structured analytical or computational frameworks, with emerging interests in aerodynamic optimization and system-level analysis. Background includes physics-informed design research and leadership experience in collaborative, project-driven environments. Seeking research opportunities to further develop computational and optimization-based approaches in aerospace engineering.
- Completed a project-based program focused on structured design thinking and problem formulation
MATLAB, Python, C/C
Linear Algebra, Differential Equations, Numerical Methods,
Physics-based modeling
Computational problem formulation
Rhino
Procreate, Adobe Photoshop
• University Honors (Fall 2024, Winter 2025, Fall 2025)
• Dean’s List (Fall 2025)