Allison Flores is a Ph.D. student in Electrical and Computer Engineering at the University of Iowa, where she studies signal processing methods for spaceflight magnetometer data. Her work centers on identifying and removing reaction wheel magnetic interference using time–frequency analysis and dual-sensor techniques, contributing to improved data integrity for heliophysics missions such as CASSIOPE/e-POP and TRACERS.

Her broader research interests explore how information emerges in complex systems — from spacecraft instrumentation to neural networks and artificial intelligence. Allison is particularly interested in the intersection of engineering, cognition, and learning theory, and she enjoys translating technical ideas into intuitive frameworks for students and interdisciplinary audiences.

Outside of research, she is committed to mentorship, educational innovation, and building tools that help others think more clearly about signals, systems, and the structure of information itself.