Jeremy Sanders
Staff Scientist at Max Planck Institute for Extraterrestrial Physics
Garching bei München, Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolJeremy Sanders is a Staff Scientist with 22 years of experience applying advanced data analysis and visualization techniques to high-energy astrophysics. Based at the Max Planck Institute for Extraterrestrial Physics, he develops science-ready software for missions like eROSITA, leads student supervision, authors papers and secures research resources. He is the lead author of the Veusz scientific plotting program and brings strong, pragmatic programming skills in Python and C++, with hands-on contributions to notable open-source projects such as enhancing parallel processing in the emcee MCMC library. His work blends research-grade algorithm development with production-focused tooling, enabling reproducible analysis of complex astronomical datasets. Comfortable bridging academia and software engineering, he routinely chairs panels and coordinates international collaborations to turn raw telemetry into publishable science.
22 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Astronomy and Astrophysics, Doctor of Philosophy (Ph.D.), Astronomy and Astrophysics at University of Cambridge
English
Github Skills (4)
python10
subprocess10
mcmc10
parallel-processing9
Programming languages (10)
Github contributions (5)
dfm/emcee
May 2012 - May 2012
The Python ensemble sampling toolkit for affine-invariant MCMC
Role in this project:
Back-end Developer
Back-end DeveloperContributions:6 commits, 2 comments in 1 day
Contributions summary:Jeremy primarily focused on developing and refactoring a subprocessing example within the emcee library. They implemented a `Pool` class to manage external processes and facilitate communication, enabling the computation of probabilities from external sources. The code changes involved adapting the example for Mac OS compatibility and simplifying the approach to inter-process communication. This demonstrates a focus on improving the library's capabilities for parallel processing.
mcmc-samplerpythonprobabilistic-data-analysisensembleinvariant
jeremysanders/mbproj2d
Apr 2020 - Jan 2023
Multiband projection code for fitting images of galaxy clusters in 2D
Contributions:130 commits, 2 PRs, 125 pushes in 2 years 9 months
projectionclustersmultibandgalaxyfitting
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