Author

M H Pouriaye Vali

University of CambridgeORCID 0009-0002-7032-4476Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Organism:E. coli· 1 Approach:experimental assay· 1 Assay:imaging· 1

Frequent Co-Authors

Diana FuscoiD· 2 shared Abhirup MookherjeeiD· 1 shared Ashraf ZarkaniD· 1 shared Cameron CroftiD· 1 shared Elle W. WyattiD· 1 shared Jeremy J. BaumbergiD· 1 shared Jordan Romeyer DherbeyiD· 1 shared Kieran AbbottiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersBiophysics

Diana FuscoORCID

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2 papers

Recent·Most cited

BiophysicsbioRxivPreprintSep 22, 2026

AutoWrinkleID: a machine learning pipeline for biofilm wrinkle identification and quantitative analysis

Mirko Murgia, M H Pouriaye Vali, Abhirup Mookherjee…·Diana Fusco

AutoWrinkleID is a machine learning pipeline for automated biofilm wrinkle detection and quantification, showing that motility-based annotations outperform manual and constitutive fluorescence annotations.

DOI 10.64898/2026.09.16.751705

bacteria (other)imaging

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MicrobiologybioRxivPreprintNov 10, 2025

Nanoplasmonic SERS-enabled structural identification of an uncharacterised indole metabolite directly in E. coli cultures

M H Pouriaye Vali, Elle W. Wyatt, Kieran Abbott…·Diana Fusco

This study identifies a novel indole metabolite, I*, produced by TnaA in E. coli using nanoplasmonic SERS, without isolation or purification.

DOI 10.1101/2025.11.10.687708

E. coliexperimental assay

𝕏 PostBluesky