Viviana Acquaviva
Data Scientist
New York, New York, United States
Summary
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Senior🎓
Top SchoolViviana Acquaviva is a data scientist in New York with a decade of experience applying physics, astronomy and computer science to complex, real-world inference problems. She specializes in parameter estimation and predictive modeling, having developed and distributed a Bayesian MCMC code to infer physical properties of distant galaxies and applied an array of supervised and unsupervised ML methods to large astronomical datasets. Her work spans the physics of the early Universe to dark energy and galaxy evolution, blending analytical insight with numerical engineering and extensive Python development. Viviana is adept at using techniques from PCA and clustering to deep learning (including CNNs) to extract star formation histories, classify galaxies, and find spectral analogues at scale. Beyond research, she is committed to improving access and career pathways for women and underrepresented minorities in STEM and is actively thinking about stronger collaboration between academia and industry. Expect a scientist who pairs rigorous publication record with practical tool-building and a penchant for clear, communicative solutions.
10 years of coding experience
International School for Advanced Studies (SISSA/ISAS), Trieste, Italy
Github Skills (3)
nyc7
health6
hygiene5
Programming languages (1)
Github contributions (5)
vacquaviva/MLSummerSchool_CCA19
Jun 2019 - Mar 2020
Contributions:35 commits, 34 pushes, 1 branch in 9 months
vacquaviva/Flatiron_MCMC
Mar 2019 - Mar 2020
Contributions:7 commits, 6 pushes, 1 branch in 11 months
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