Kaylah Breanne McGowan
Hometown: Union, NJ
Undergraduate Institution: The University of Arizona
Current Stage and Institution: PhD student, Vanderbilt University
Track: Physics/Astrophysics
Research: Dynamic LIGO Fellow, EMIT scholar, and PhD candidate specializing in astronomical instrumentation, with a proven track record of enhancing gravitational wave detection at LIGO Livingston. Developer of ArchGEM, a software tool for characterizing scattered light noise using machine learning techniques. Experienced in detector characterization, commissioning, seismic isolation, and thermal noise investigations. Adept in Python, data analysis, and machine learning, with a strong commitment to advancing gravitational wave astrophysics through innovation and cross-disciplinary collaboration.