Author

Ethan Curtis

University of British Columbia

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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Bioengineering· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1

Frequent Co-Authors

Alexandra BirkenshawiD· 1 shared Binh Tran· 1 shared Colin J. RossiD· 1 shared Hussain HaideriD· 1 shared Isaiah O. BetinoliD· 1 shared Jiamin WuiD· 1 shared Jolene P. ReidiD· 1 shared Natalie B. JonesiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioengineering

Alexandra BirkenshawORCID

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1 paper

Recent·Most cited

Machine Learning Guided Structure Activity Discovery of Polymer Configurations in Lipid Nanoparticles for Kiss-and-Run Endosomal Escape

Jiamin Wu, Xia Qin, Po-Yu Chou, Binh Tran, Isaiah O. Betinol, Alexandra Birkenshaw, Hussain Haider, Ethan Curtis, Natalie B. Jones, Jolene P. Reid, Colin J. Ross, Shyh‐Dar Li

This paper optimizes lipid nanoparticle polymer configurations for endosomal escape using machine learning, achieving high gene editing efficiency in mice.

bioRxiv · Aug 13, 2025 · PreprintBioengineering