Andrea Zonca
Lead Of Scientific Computing at San Diego Supercomputer Center
San Diego, California, United States
Summary
🤩
Rockstar🎓
Top SchoolAndrea Zonca is the Lead of Scientific Computing at the San Diego Supercomputer Center with 16+ years of experience building and optimizing high-performance, distributed data pipelines for cosmology and broader scientific research. He has deep expertise in Python for HPC, Kubernetes-based deployments (JupyterHub, dask) on platforms like Jetstream 2, and is a maintainer of the widely used healpy HEALPix Python tools. Andrea’s career spans hands-on instrument and mapmaking work on Planck through to leadership in simulations for Simons Observatory, CMB-S4 and the LiteBIRD joint analysis effort, reflecting rare domain knowledge that bridges instrument systematics and large-scale simulation. He leads a team that helps researchers port, benchmark and scale data-intensive workloads to national supercomputers while continuing to produce community software and tutorials. His background in aerospace and astroparticle PhD training underpins a practical approach to instrument modeling, calibration and massively parallel algorithm design. Colleagues rely on him not just for technical depth but for translating complex cosmology requirements into reproducible, production-ready HPC workflows.
15 years of coding experience
University of MilanPhD AeroSpace Engineering, PhD AeroSpace Engineering at Politecnico di Milano
Italian, English, Spanish, French
Stackoverflow
8,603reputation
953kreached
106answers
52questions
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Github Skills (26)
data-visualizations10
python10
scikit10
pandas10
machine-learning10
data-visualisation10
numpy10
data-preprocessing10
fits10
harmonic10
scikit-learn10
data-visualization10
data-analysis10
astronomy9
evaluation9
Programming languages (23)
Github contributions (5)
healpy/healpy
May 2010 - Jan 2023
Python healpix maps tools
Role in this project:
Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:38 releases, 79 reviews, 941 commits in 12 years 9 months
Contributions summary:Andrea contributed to the development of the HEALPix tools, with a focus on supporting the spherical harmonic transforms and the handling of maps. Their work involved implementing and improving routines for angular power spectrum calculation, the creation of Gaussian beam functions, and the integration of pixel weights for more accurate transforms. They also focused on improving documentation.
pythonmaphealpixgis
swcarpentry/DEPRECATED-bc
Apr 2014 - Oct 2014
DEPRECATED: This repository is now frozen - please see individual lesson repositories.
Role in this project:Data Scientist
Data ScientistContributions:18 commits in 6 months
Contributions summary:Andrea primarily contributed to a Python-based machine learning tutorial, specifically focused on predicting abalone age using physical measurements. Their commits included adding the introductory content, loading and cleaning the dataset, creating binary features, splitting the data into training and test sets, feature scaling, fitting and evaluating a Decision Tree model, optimizing parameters, and adding a conclusion. The user also replaced an example and fixed rendering issues.
repositoriesindividualfrozen
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