Tess Jaffe
Research Astrophysicist at NASA Goddard Space Flight Center
Washington DC-Baltimore Area United States
Summary
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Senior🎓
Top SchoolTess Jaffe is a research astrophysicist and archive scientist at NASA Goddard with nine years of professional experience ensuring data access and analysis capabilities for the high-energy astrophysics community while advancing research on Galactic magnetic fields and related phenomena. She combines deep domain expertise in CMB, galactic foregrounds, the interstellar medium, supernova remnants, and cosmic rays with strong technical skills in data analysis, modeling, simulation, and software development (Python, C++, IDL). Her career spans key roles on Planck and GALFACTS, co-developing simulation tools like hammurabi and serving as an internal reviewer and data validator on high-profile collaborations. Comfortable in both research and service roles, she bridges archive engineering and science, enabling reproducible analysis pipelines for broad community use. Fluent in outreach and teaching (including activities in French) and experienced with data-science toolchains and machine-learning methods, she brings a pragmatic, interdisciplinary approach to complex astrophysical problems.
10 years of coding experience
13 years of employment as a software developer
PhD, Physics/astrophysics, magna cum laude, PhD, Physics/astrophysics, magna cum laude at Ludwig-Maximilians-Universität MünchenMS, Physics, MS, Physics at University of California, RiversideColumbia University in the City of New York
French, German
Github Skills (28)
python10
astronomy10
astropy10
aws9
jupyter-notebook8
statistics7
bayesian-inference7
inference5
inference-engine5
json-schema5
json5
kafka4
fortran4
coordinates4
hugo3
Programming languages (9)
Github contributions (5)
NASA-NAVO/navo-workshop
May 2018 - Dec 2022
Tutorial notebooks for how to use PyVO to access NASA and other data in Python.
Contributions:12 reviews, 40 commits, 8 PRs in 4 years 7 months
pythonnotebooksbinderworkshop
heasarc/sciserver_cookbooks
Sep 2021 - Jan 2023
Jupyter notebook tutorials/cookbooks demonstrating analysis on the SciServer platform
Contributions:6 reviews, 6 commits, 6 PRs in 1 year 3 months
jupyter-notebook
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