Author

L. R. Soenksen

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· 3

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

D. L. Trumper· 2 shared L. G. Griffith· 2 shared T. Kassis· 2 shared A. Garruss· 1 shared C. J. W. Yang· 1 shared G. Church· 1 shared J. Collins· 1 shared M. Noh· 1 shared

Activity by Year

2018-2019 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersBioengineering

D. L. Trumper

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3 papers

Recent·Most cited

Deep Learning for RNA Synthetic Biology

N. Angenent-Mari, A. Garruss, L. R. Soenksen, G. Church, J. Collins

The paper uses deep neural networks to predict toehold switch function in RNA synthetic biology, outperforming existing models and providing visual insights into their behavior.

bioRxiv · Dec 11, 2019 · PreprintBioengineering

PiFlow: A Biocompatible Low-Cost Programmable Dynamic Flow Pumping System Utilizing a Raspberry Pi Zero and Commercial Piezoelectric Pumps

T. Kassis, P. M. Perez, C. J. W. Yang, L. R. Soenksen, D. L. Trumper, L. G. Griffith

The paper introduces a low-cost, programmable flow pumping system using a Raspberry Pi Zero and piezoelectric pumps to mimic physiological fluid dynamics in cell culture systems.

bioRxiv · Apr 25, 2018Bioengineering

Closed-loop feedback control for microfluidic systems through automated capacitive fluid height sensing

L. R. Soenksen, T. Kassis, M. Noh, L. G. Griffith, D. L. Trumper

This paper develops a capacitive sensor and control system for precise, non-contact fluid height monitoring in microfluidic reservoirs, enabling closed-loop feedback control with submillimeter resolution.

bioRxiv · Jan 12, 2018Bioengineering