Marina Dunn
PHD Candidate
San Cristóbal de La Laguna, Spain
Summary
👤
Senior🎓
Top SchoolMarina Dunn is a PhD candidate at the Instituto de Astrofísica de Canarias with nine years of experience applying machine learning to astrophysics and space science problems. She specializes in deep learning for galaxy structure and dwarf galaxy morphology, developing Bayesian neural networks for upcoming Euclid and LSST imaging surveys. Her background includes NASA roles where she built deep learning systems for Europa ice-block segmentation and cloud-optimized pipelines for Earth science, plus data-engineering and ML education work at Apple and NASA Langley. Marina blends hands-on software engineering (Spark, Python, cloud pipelines) with observational astronomy experience from the University of Arizona, including co-authored astrophysical journal work. She is effective at translating complex science needs into scalable, production-ready ML tools and visualization pipelines. Based in San Cristóbal de La Laguna, she brings a rare mix of mission-focused research experience and practical data-product delivery across academic and government labs.
9 years of coding experience
6 years of employment as a software developer
Data Science, Data Science at University of California, BerkeleyThe University of ArizonaMaster of Science - MS Engineering: Data Science, Master of Science - MS Engineering: Data Science at University of California, RiversideDoctor of Philosophy - PhD Astrophysics, Doctor of Philosophy - PhD Astrophysics at Universidad de La Laguna
English, Spanish
Stackoverflow
11reputation
3kreached
1answer
0questions
Github Skills (26)
classification-model9
bayesian-network9
classification8
convolutional-neural-networks8
shift7
jupyter-notebook6
keras6
turtle-graphics6
nasa-data6
python6
simulation6
earth-science5
physics5
deep-learning5
zarr5
Programming languages (2)
Github contributions (5)
marinadunn/SHIFT-STAC-backend
Apr 2022 - May 2022
Contributions:96 commits, 86 pushes, 1 branch in 1 month
marinadunn/thesis
Mar 2022 - Jan 2023
Repo for my thesis research development at UC Riverside: "Classifying Galaxy Morphologies Using Bayesian Neural Networks for LSST"
Contributions:89 commits, 93 pushes in 9 months
bayesian-networkbayesian-neural-networksbnnbnnsclassification
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