Stanford - Santa Cruz Cosmology Fellow at University of California, Santa Cruz
Boulder, Colorado, United States
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Summary
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Wren Suess is a Stanford–Santa Cruz Cosmology Fellow and data scientist with nine years of experience modeling galaxy formation and evolution using large multispectral imaging surveys. They build Bayesian frameworks and automated C++/Python pipelines to derive star formation histories and measure sizes and shapes for tens of thousands of galaxies, working with Hubble, ALMA, and soon JWST data. Wren has led teams of scientists, secured significant grant funding, and is lead author on multiple refereed papers, translating noisy, multi-instrument datasets into clear scientific stories and visualizations. Beyond research, they design training programs to improve workplace climate and have a long-standing commitment to sustainability and public outreach, from grassroots campaigns to teaching K–12. An appetite for priors and clear data narratives underpins their work: they balance rigorous statistical modeling with accessible presentation of complex astrophysical results.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Astrophysics, Doctor of Philosophy - PhD, Astrophysics at University of California, Berkeley
Bachelor's degree, Physics, Bachelor's degree, Physics at University of Colorado Boulder
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Wren Suess - Stanford - Santa Cruz Cosmology Fellow at University of California, Santa Cruz