Jay Larson
Lead Data Scientist
Canberra, Australia
Summary
👤
Senior🎓
Top SchoolJay Larson is a Lead Data Scientist and Theoretical Physics PhD with 25 years of experience applying high-performance computing, numerical modeling, and advanced statistical methods to government and research problems. He has led and contributed to production-grade software and data products across DOE, NASA, CSIRO and multiple Australian federal agencies, blending scientific rigor with pragmatic engineering. Recent work focuses on labour-market and administrative-data engineering at scale, producing high-detail public datasets and reusable PySpark libraries for automated disclosure control and Azure deployment. Jay founded a federal-contracted R&D vehicle, Prairie Informatics, and has a track record of translating complex simulation and coupling technologies (e.g., model-coupling toolkits) into robust operational systems. He pairs deep domain knowledge in climate, assimilation and computational science with practical skills in MPI/OpenMP, MapReduce variants and modern cloud CI/CD pipelines. Based in Canberra, he often operates at the intersection of academic research and government delivery, making sophisticated methods accessible and auditable for policy use.
25 years of coding experience
24 years of employment as a software developer
B.A., Physics and Mathematics, B.A., Physics and Mathematics at Drake UniversityPhD, Physics, PhD, Physics at William & Mary
Github Skills (30)
coupling10
kibana9
visualizations9
tookit9
elastic8
elasticsearch8
machine-learning8
observability8
ckan-extension6
terraform-module5
aws5
policies5
terraform4
docker4
ckan4
Programming languages (9)
Github contributions (5)
datagovau/ckanext-zippreview
Oct 2021 - Dec 2021
Preview contents of ZIP files, even if they are hosted on external sites (Python 3/webassets ckan 2.9+ compatible).
Contributions:5 reviews, 1 push, 3 branches in 1 month
ckanpythonwebassets
AusDTO/dga-non_prod-startup
Aug 2021 - Nov 2021
Start of the day start the needed resources NON-PROD ONLY
Contributions:14 reviews, 1 PR, 3 pushes in 3 months
cost-optimizationnon-prodproddayaws
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