Author

Eric Palanques-Tost

Boston UniversityORCID 0000-0002-0783-9779Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:CRISPR screen· 1 Approach:deep learning· 1 Organism:mouse· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Calin A. BeltaiD· 2 shared Andres Buritica Monroy· 1 shared Andrew R Moorman· 1 shared Charles Van De Mark· 1 shared Georg K. A. WachteriD· 1 shared Hanna KrasowskiiD· 1 shared Jean DissetiD· 1 shared Murat ArcakiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersSynthetic Biology

Calin A. BeltaORCID

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2 papers

Recent·Most cited

Synthetic BiologybioRxivPreprintSep 24, 2026

Generative Neuromorphic Programming of Mammalian Cells

Jean Disset, Charles Van De Mark, Georg K. A. Wachter…·Ron Weiss

This paper introduces a neuromorphic framework for programmable mammalian cells, enabling the design of analog circuits through generative programming and biomorphic neural networks.

DOI 10.64898/2026.09.18.752793

mouseCRISPR screen

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BioengineeringbioRxivPreprintDec 9, 2024

Learning Biomolecular Models using Signal Temporal Logic

Hanna Krasowski, Eric Palanques-Tost, Calin A. Belta, Murat Arcak

The paper develops a method to infer biomolecular models from qualitative behaviors using Signal Temporal Logic and genetic algorithms, with gradient-based parameter estimation.

1 citation

deep learningstatistical model

𝕏 PostBluesky