Author

Sizhe Liu

Duke UniversityORCID 0009-0004-8070-8929Unclaimed 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:benchmarking· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Ashley Ruan· 1 shared Ashwini R. Shende· 1 shared Claudia K. GunschiD· 1 shared Deverick John AndersoniD· 1 shared Harshitha Venugopal-Lavanya· 1 shared Helena R. MaiD· 1 shared Irida ShytiiD· 1 shared Katherine E. DunckeriD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperSynthetic Biology

Ashley Ruan

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1 paper

Recent·Most cited

Engineering microbial consortia for distributed signal processing

Katherine E. Duncker, Ashwini R. Shende, Irida Shyti, Ashley Ruan, Ryan D'Cunha, Harshitha Venugopal-Lavanya, Helena R. Ma, Sizhe Liu, Neil Gottel, Deverick John Anderson, Claudia K. Gunsch, Lingchong You

This paper introduces a method using microbial consortia and computational models to decode complex signals and predict input concentrations from microbial community responses.

Nature Communications · Jul 18, 2026Peer-reviewedSynthetic Biology