Author

H.-Q. Mao

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· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

A. Aggarwal· 1 shared B. Partopour· 1 shared C. Shin· 1 shared C.-w. Chiang· 1 shared F. Wang· 1 shared G. Weng· 1 shared H. Hou· 1 shared J. Finelli· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioengineering

A. Aggarwal

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2 papers

Recent·Most cited

An Accessible and Scalable Pipette-Driven Microfluidic Platform for Lipid Nanoparticle Formulation

Y. S. Takeda, F. Wang, X. Gu, J. Forster, H. Hou, P. Hemmati, B. Partopour, L. Maugeri, Y. Kim, S. Apel, R. Norton, J. Finelli, P. Molaei, S. Shafiee, S. Li, , Mehdi Dehghani

This paper introduces a microfluidic platform for lipid nanoparticle formulation that improves scalability and efficiency in mRNA delivery.

bioRxiv · Nov 9, 2026 · PreprintBioengineering

Machine Learning Elucidates Design Features of Plasmid DNA Lipid Nanoparticles for Cell Type-Preferential Transfection

L. Cheng, Y. Zhu, J. Ma, A. Aggarwal, W. H. Toh, C. Shin, W. Sangpachatanaruk, G. Weng, R. Kumar, H.-Q. Mao

This study uses machine learning to identify LNP composition parameters that enhance transfection efficiency across cell types and modulate cell type-preferentiality.

bioRxiv · Dec 7, 2023 · PreprintBioengineering