Author

Joshua Andrew Santos

Texas A&M University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 1

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:graph neural network· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Esaú De la Vega-CamarilloiD· 1 shared Jorge Arreola‐VargasiD· 1 shared Sanjay Antony‐BabuiD· 1 shared Saurav Kumar MathuriD· 1 shared Won‐Bo ShimiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperMicrobiology

Esaú De la Vega-CamarilloORCID

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1 paper

Recent·Most cited

MicrobiologyEnvironmental Science & TechnologyPeer-reviewedApr 27, 2026

Machine Learning-Guided Synthetic Microbial Communities Enable Functional and Sustainable Degradation of Persistent Environmental Pollutants

Esaú De la Vega-Camarillo, Jorge Arreola‐Vargas, Sanjay Antony‐Babu…·Won‐Bo Shim

The paper develops GENIA, a machine learning framework for designing synthetic microbial communities that degrade multiple persistent pollutants more effectively than existing methods.

17 citationstop 1%

whole-genome sequencingdeep learning

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