Wren Suess

Stanford - Santa Cruz Cosmology Fellow at University of California, Santa Cruz

Boulder, Colorado, United States
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Summary

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Senior
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Top School
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.
code9 years of coding experience
job3 years of employment as a software developer
bookDoctor of Philosophy - PhD, Astrophysics, Doctor of Philosophy - PhD, Astrophysics at University of California, Berkeley
bookBachelor's degree, Physics, Bachelor's degree, Physics at University of Colorado Boulder
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Github Skills (12)

spectra8
generative7
galaxy7
stellar6
reduction6
cosmology6
modeling-tool6
pipeline5
python5
modeling5
astrophysics4
inference3

Programming languages (2)

HTMLPython

Github contributions (5)

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Contributions:6 pushes, 1 branch in 3 years
wrensuess/forcepho

Jun 2022 - Sep 2022

Generative modeling galaxy photometry for JWST
Contributions:6 pushes in 3 months
photometrygalaxygenerative-modelingjwstgenerative
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Wren Suess - Stanford - Santa Cruz Cosmology Fellow at University of California, Santa Cruz