Summary
Kimberly Schramm is a research analyst and seismologist with nine years of experience building scientific software and analyzing seismic and bibliometric datasets. Trained with a Ph.D. in seismology, she has deep expertise modeling wave propagation, processing earthquake and infrasound waveforms, and developing high-performance code in Python, Fortran, Java, Matlab and shell environments. In her current role she pivots those quantitative skills to bibliometrics—combining Scopus/SciVal and NSF/NCES data to produce visualizations and strategic insights for universities. She brings a blend of field-driven geophysics rigor and pragmatic software engineering, having ported legacy Fortran to Java, implemented parallel code, and automated waveform QA. Based in Albuquerque, she pairs domain knowledge in wave physics with practical data science techniques like regression and data wrangling to drive evidence-based decisions.
9 years of coding experience
5 years of employment as a software developer
Master of Science, Geological Sciences, Master of Science, Geological Sciences at The University of Texas at El Paso
Ph.D., Seismology, Ph.D., Seismology at Northwestern University
Bachelor of Science, Geological Sciences, Bachelor of Science, Geological Sciences at Purdue University