Marc Williamson
Technical Staff at MIT Lincoln Laboratory
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolMarc Williamson is a computational astrophysicist and machine learning specialist with 11 years of experience, a Physics Ph.D. from NYU, and current Technical Staff responsibilities at MIT Lincoln Laboratory. He builds neural-network emulators and Bayesian frameworks to accelerate high-fidelity physics simulations, and leads development of open-source tools like SESNspectraPCA while serving as a core developer on the widely used TARDIS radiative-transfer code. His work combines hands-on backend engineering—adding parsers, configuration handling, and documentation to TARDIS—with leading scientific analyses that produced multiple first-author papers on stripped-envelope supernovae. Comfortable bridging research and production, he applies emulation and spectral classification techniques to both fundamental astrophysics and applied sensor and orbital modeling. An uncommon strength is translating complex simulation workflows into reproducible, user-focused code and tutorials that broaden community adoption.
11 years of coding experience
Bachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at Stanford University
Github Skills (7)
python10
documentation10
yaml10
numpy9
pandas9
astropy8
data-analysis8
Programming languages (4)
Github contributions (5)
tardis-sn/tardis
May 2019 - Jul 2021
TARDIS - Temperature And Radiative Diffusion In Supernovae
Role in this project:
Back-end Developer & Technical Writer
Back-end Developer & Technical WriterContributions:52 reviews, 34 commits, 42 PRs in 2 years 3 months
Contributions summary:Marc primarily focused on enhancing the TARDIS model functionality by implementing a new CSVY parser and improving the handling of model configuration. Their work included adding features like parsing and loading CSVY files, integrating a YAML loader, and fixing data type overwrites. They also contributed to the project's documentation by creating model documentation pages and a tutorial for custom packet sources, demonstrating a strong understanding of the project's internal workings.
pythonscienceastrophysicssupernovasupernovae
fedhere/SESNspectraPCA
May 2017 - Jun 2019
Contributions:115 pushes, 8 comments, 9 issues in 2 years
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