Rodrigo Luger
Member Of Technical Staff at Anthropic
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolRodrigo Luger is a software engineer and AI safety researcher with 11 years of experience bridging high-impact research and production systems, currently at Anthropic after evaluating Waymo’s self-driving car safety. He holds a PhD in Astronomy & Astrophysics and spent years developing statistical tools, hierarchical Bayesian inference, and time-series algorithms for exoplanet detection—work that led to 15 first-author papers and 2,300+ citations. Rodrigo combines rigorous scientific modeling with practical software engineering, contributing educational Gaussian Process material to the LSSTC Data Science Fellowship resources. Comfortable moving between research labs and industry, he applies astrophysical data-analysis expertise to AI and autonomy safety problems, bringing a knack for turning complex probabilistic methods into robust, testable systems.
12 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Astronomy and Astrophysics, Doctor of Philosophy - PhD Astronomy and Astrophysics at University of WashingtonBachelor's degree Astronomy and Astrophysics, Bachelor's degree Astronomy and Astrophysics at Swarthmore College
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (5)
data-analysis10
jupyter-notebook10
python10
gaussian-processes10
machine-learning9
Programming languages (10)
Github contributions (5)
LSSTC-DSFP/LSSTC-DSFP-Sessions
Jun 2019 - Oct 2021
Lecture slides, Jupyter notebooks, and other material from the LSSTC Data Science Fellowship Program
Role in this project:
Data Scientist
Data ScientistContributions:24 commits, 7 PRs, 2 comments in 2 years 4 months
Contributions summary:Rodrigo's commits focused on adding datasets and answers related to Gaussian Processes. Their primary contributions involved incorporating data and solutions into existing Jupyter notebooks within the repository. The work appears to be focused on providing examples and answers related to an introduction to GPs and may be related to an educational context, as indicated by the repository description.
data-sciencejupyter-notebook
rodluger/planetplanet
May 2017 - Apr 2018
A general photodynamical code for exoplanet light curves
Contributions:1 release, 490 commits, 15 PRs in 11 months
pythonlightexoplanetlight-curvesastronomy
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