Christina Kreisch
Quantitative Researcher
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolChristina Kreisch is a quantitative researcher in global fixed income and macro at Citadel who applies machine learning and high-performance computing to analyze large-scale financial and economic data. She holds a PhD in Astrophysics from Princeton with three additional certificates in Machine Learning & Statistics, High Performance Computing, and Teaching, and authored over 15 papers with 1,000+ citations by the time she graduated. Her academic work spans cosmology, neutrino physics, and galaxy spectroscopy, giving her deep experience in extracting subtle signals from noisy, high-dimensional datasets. With a decade of research experience across institutions including Princeton, JPL, and Max Planck, she blends rigorous theory, advanced computation, and practical implementation. Passionate about women's health, STEM representation, and the environment, she brings both scientific rigor and advocacy to her quantitative work.
10 years of coding experience
High School, High School at Villa DuchesneBachelor’s Degree, Physics and Mathematics, Magna Cum Laude, Bachelor’s Degree, Physics and Mathematics, Magna Cum Laude at Washington University in St. LouisAcademy of the Sacred HeartDoctor of Philosophy (Ph.D.), Astrophysics, Doctor of Philosophy (Ph.D.), Astrophysics at Princeton University
c, c++, java, fortran, idl, matlab, python, English, Spanish, German, r, sql
Github Skills (10)
conda8
spectra8
python8
os-agnostic8
cosmology7
package-management7
linux7
ecosystem5
package-manager4
transmission4
Programming languages (4)
Github contributions (5)
ckreisch/ExoplanetSpectra
Nov 2016 - Jan 2017
Contributions:146 commits, 150 PRs, 134 pushes in 1 month
pythontransmissionlightwavelengthexoplanet
ckreisch/CosmoMC
Aug 2019 - Aug 2019
MCMC parameter sampling code
Contributions:2 PRs, 6 pushes, 9 branches in 3 days
samplingmachine-learningmcmcparameter
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