Author

Eryney Marrogi

Harvard UniversityORCID 0000-0002-6035-2089Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1 Bioinformatics· 1 Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Assay:fluorescence / live-cell microscopy· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Flaminia CatterucciaiD· 2 shared Aaron L. NicholsiD· 1 shared Anand K. MuthusamyiD· 1 shared Andrea L. SmidleriD· 1 shared Daniel G. AbernathyiD· 1 shared Duo PengiD· 1 shared Elisabeth Nelson· 1 shared Enzo MameliiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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2 shared papersBioinformatics

Flaminia CatterucciaORCID

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3 papers

Recent·Most cited

OocystMeter, a machine-learning algorithm to count and measure Plasmodium oocysts, reveals clustering patterns in the Anopheles midgut

Duo Peng, Eryney Marrogi, Elisabeth Nelson, Qiushi Liu, Tasneem A. Rinvee, Laura E. de Vries, Kate Thornburg, Naresh Pratap Singh, W. Robert Shaw, Flaminia Catteruccia

OocystMeter automates oocyst counting and sizing in mosquito midguts, revealing clustered spatial patterns in malaria infections.

Scientific Reports · Oct 29, 2026Peer-reviewedBioinformatics

Using Latent Chemical Recognition in an Evolved Periplasmic Binding Protein Family to Diversify Biosensors

Eryney Marrogi, Aaron L. Nichols, Henry A. Lester, Anand K. Muthusamy

The paper screens a family of evolved biosensors against diverse ligands to identify cross-reactive compounds, finding multiple ligands beyond neural drugs that activate the sensors.

bioRxiv · Aug 4, 2026 · PreprintBioengineering

Engineering gene drive docking sites in a haplolethal locus in Anopheles gambiae

Andrea L. Smidler, Eryney Marrogi, Sean N. Scott, Enzo Mameli, Daniel G. Abernathy, Omar S. Akbari, George McDonald Church, Flaminia Catteruccia, Kevin M. Esvelt

The paper develops and characterizes gene drive docking lines in Anopheles gambiae using RMCE and HACK techniques, identifies challenges for robust gene drive development.

Scientific Reports · Oct 8, 2025Peer-reviewedSynthetic Biology