Miguel Cárcamo
Assistant Professor at Universidad de Santiago de Chile
Santiago, Santiago Metropolitan Region, Chile
Summary
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Senior🎓
Top SchoolMiguel Cárcamo is an Assistant Professor and interdisciplinary researcher combining computer science and astrophysics to tackle protoplanetary disks, planet formation, and the evolution of magnetic fields. With a Ph.D. from The University of Manchester and over a decade of experience teaching and developing distributed, big-data and parallel computing solutions, he applies production-grade software engineering to radio-astronomical problems. He created cs-romer, a compressive Faraday imaging tool used for reconstructing Faraday depth from spectro-polarimetric observations in next-generation radio telescopes. Comfortable in Python, C++ and MATLAB, he bridges algorithmic research and scalable data pipelines to turn complex telescope datasets into publishable science. Based in Santiago, Chile, he pairs academic rigor and hands-on system design—often translating theoretical models into efficient, field-ready code.
11 years of coding experience
Doctor of Philosophy - PhD, Astronomy and Astrophysics, Doctor of Philosophy - PhD, Astronomy and Astrophysics at The University of ManchesterMaster's degree, Computer Science, Master's degree, Computer Science at Universidad de Santiago de Chile
English, Spanish
Stackoverflow
23reputation
5kreached
0answers
10questions
Github Skills (168)
prediction-model10
faraday10
parallel10
snow10
python10
astronomy10
sympy10
synthesis10
pydata10
optimization-methods10
pandas10
orbital-mechanics10
multi-gpu10
science10
astrophysics10
Programming languages (11)
Github contributions (5)
miguelcarcamov/snow
Mar 2020 - Dec 2022
Contributions:576 commits, 34 PRs, 573 pushes in 2 years 10 months
pythonradio-astronomycasaimage-synthesisradioastronomy
miguelcarcamov/gpuvmem
Mar 2016 - Jan 2023
GPU Framework for Radio Astronomical Image Synthesis
Contributions:14 releases, 1338 commits, 34 PRs in 7 years
optimization-methodsimage-synthesissynthesismulti-gpuvla
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