Author

Stacy L. Springs

Massachusetts Institute of TechnologyORCID 0000-0003-2133-5689Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1 Bioinformatics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Assay:long-read sequencing· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Jacqueline M. WolfrumiD· 3 shared Paul W. BaroneiD· 3 shared Anthony J. SinskeyiD· 2 shared Caleb I. Neufeld· 2 shared Francesco DestroiD· 2 shared John JosephiD· 2 shared Prasanna SrinivasaniD· 2 shared Richard D. BraatziD· 2 shared

Activity by Year

2023-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersBioengineering

Jacqueline M. WolfrumORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

BioengineeringMolecular Therapy AdvancesPeer-reviewedMay 1, 2026

Continuous Production of Recombinant Adeno-Associated Virus in the Insect Cell/Baculovirus Expression Vector System

John Joseph, Francesco Destro, Arella Yuan…·Stacy L. Springs

This study develops a continuous production process for recombinant adeno-associated virus (rAAV) using the Sf9/BEVS system, achieving stable yields over 4 weeks.

DOI 10.1016/j.omta.2026.201744

experimental assaydrug response / drug discovery

𝕏 PostBluesky

BioinformaticsMicrobiology SpectrumPeer-reviewedAug 30, 2023

Machine-learning based detection of adventitious microbes in T-cell therapy cultures using long read sequencing

James P. B. Strutt, Meenubharathi Natarajan, Elizabeth Lee…·Stacy L. Springs

This paper develops a machine learning approach using long-read sequencing to rapidly detect microbial contaminants in T-cell therapy cultures at low abundance.

9 citations

long-read sequencingmachine learning (classical)

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Molecular BiologyMolecular Therapy — Methods & Clinical DevelopmentPeer-reviewedJun 2, 2023

Mechanistic Modeling Explains the Production Dynamics of Recombinant Adeno-Associated Virus with the Baculovirus Expression Vector System

Francesco Destro, John Joseph, Prasanna Srinivasan…·Richard D. Braatz

The paper develops a mechanistic model of rAAV production in BEVS, identifying Rep78 levels and transgene expression as key factors limiting yields.

22 citations

statistical model

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