Author

Maryl Lambros

Albert Einstein College of MedicineORCID 0000-0002-8434-2459Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Systems Biology· 2 Bioengineering· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Organism:human· 2 Assay:ATAC-seq· 1 Organism:bacteria (other)· 1 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:Hi-C· 1

Frequent Co-Authors

Aviv BergmaniD· 2 shared Bilge Esin ÖztürkiD· 1 shared Brett C. Hogle· 1 shared Daniel BíroiD· 1 shared Fabian Köchl· 1 shared Franco Revelant· 1 shared Haley N. JanowitziD· 1 shared Hamzah AweidahiD· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersSystems Biology

Aviv BergmanORCID

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3 papers

Recent·Most cited

BioengineeringbioRxivPreprintMay 17, 2026

Structural dynamics insights into principles underlying the fitness of new broadly potent AAVs

Molly E. Johnson, Bilge Esin Öztürk, Thomas H. Tugwell…·Leah C. Byrne

The paper develops a new AAV engineering workflow, scAAVengr-Hunt, to create potent vectors and identifies a structural mechanism underlying their broad species and tissue potency.

1 citation

non-human primatemouse

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Systems BiologyPLoS Computational BiologyPeer-reviewedFeb 21, 2023

Phenotypic Pliancy and the Breakdown of Epigenetic Polycomb Mechanisms

Maryl Lambros, Yehonatan Sella, Aviv Bergman

This paper introduces a computational model to study phenotypic pliancy, showing it results from Polycomb mechanism dysregulation and is observed in metastatic cancer cells.

2 citations

humanscRNA-seq

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Systems BiologybioRxivPreprintFeb 19, 2019

The Process Pathway Model of bacterial growth

Daniel Bíro, Ximo Pechuan-Jorge, Maryl Lambros, Aviv Bergman

This paper develops a Process Pathway Model to describe bacterial growth, showing it accurately captures temperature dependence and provides a computationally feasible intermediate complexity model.

1 citation

bacteria (other)statistical model

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