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Natalie Meacham

Institution/Organization: University of California, Merced

Department: Applied Mathematics

Academic Status: Graduate Student

What conference theme areas are you interested in:

Applications in science, engineering, and industry
Education and interdisciplinary programs in CSE
Emerging software infrastructure for CSE, sustainability of numerical software
Inverse problems, optimization, and uncertainty quantification
Model and dimensionality reduction


My primary academic focus is mathematical biology, with emphasis in human physiology. While my current background is based in differential equations models, I am working to expand my knowledge base to include more data-centered and computational approaches. Past work that I have enjoyed includes re-coding Markov chains in the context of speech recognition and prediction technology, building models to evaluate a coral reefs response to human interventions, and representing reproductive hormones with and without outside stimulus. Because I am strongly motivated to improve human quality of life, I hope to do future research that processes real-world data to solve medical and ecological questions.

Non-Work Related Activities/Interests:

As a graduate of a historically women’s undergraduate college and a current graduate student at a Hispanic-serving institution, I am deeply invested in diversity and representation in mathematics. I dedicate my time to learning how to serve my students and my department, particularly in this pandemic, and making math education as equitable and accessible as possible. Having enjoyed working as a mentor and TA for Duke’s Summer Workshop in Mathematics program for women, I hope to do more in the future to promote women’s advancement in STEM. Outside the context of mathematics, I enjoy rock climbing and reading.