Neven Caplar
Research Scientist Engineer at University of Washington DiRAC Institute
Seattle, Washington, United States
Summary
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Senior🎓
Top SchoolNeven Caplar is a research scientist-engineer with a decade of experience turning petabyte-scale astronomical data into production-ready, scientifically robust insights. As scientific lead and project owner of the open-source LSDB framework at UW’s DiRAC Institute, he designs distributed execution, partitioning, and correctness strategies to analyze and cross-match billion-object catalogs on cloud-adjacent and HPC platforms. His background spans commissioning LSST time-domain pipelines, building large-scale lightcurve and difference-imaging systems, and developing ML-informed calibration algorithms for spectrographs at Princeton. Trained as an astrophysicist (PhD, ETH Zürich), he blends rigorous scientific modeling with software engineering to bridge algorithm research and operational data infrastructure. He is especially interested in applying scalable, statistically grounded approaches to time-series and AI-driven data systems beyond astronomy.
11 years of coding experience
8 years of employment as a software developer
Master of Physics Physics, Master of Physics Physics at University of Zagreb / Sveučilište u ZagrebuDoctor of Philosophy - PhD Astronomy and Astrophysics, Doctor of Philosophy - PhD Astronomy and Astrophysics at ETH Zürich
English, German, Croatian
Stackoverflow
101reputation
0reached
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Github Skills (72)
hierarchical10
julia9
science9
progressive9
pandas8
catalog8
python8
programming-language8
astronomy8
hpc8
machine-learning8
survey8
data-structure8
fst8
data-science7
Programming languages (8)
Github contributions (5)
nevencaplar/AGN-Variability-Simulations
Jun 2019 - Jan 2020
Contributions:33 commits, 24 pushes in 7 months
lsst-so/notebooks_dia
Sep 2023 - May 2026
Notebooks for Difference Image Analysis explorations as part of Commissioning
Contributions:4 PRs, 60 pushes, 4 branches in 2 years 9 months
image-analysis
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