Author

Adi Lavy

University of California, BerkeleyORCID 0000-0002-7518-1913Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Microbiology· 1 Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Research Focus:gene regulatory network inference· 2 Assay:metagenomics· 2 Approach:statistical model· 2 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Jillian F. BanfieldiD· 2 shared Akihito MochizukiiD· 1 shared Alexander L. JaffeiD· 1 shared Antje KrügeriD· 1 shared Ashty S. KarimiD· 1 shared Cindy J. CastelleiD· 1 shared Daniel A. GittinsiD· 1 shared Divyesh A. Patel· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersMicrobiology

Jillian F. BanfieldORCID

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3 papers

Recent·Most cited

Synthetic BiologyBiotechnology and BioengineeringPeer-reviewedApr 29, 2025

Scalable cell-free production of active T7 RNA polymerase

Ryan N. Rezvani, Rochelle Aw, Wei Chan…·Michael C. Jewett

This paper demonstrates scalable cell-free production of active T7 RNA polymerase with high purity and activity, suitable for decentralized biotherapeutic manufacturing.

10 citations

experimental assay

𝕏 PostBluesky

MicrobiologyEnvironmental MicrobiomePeer-reviewedDec 18, 2024

Characterization of sediment and granite hosted deep underground research laboratories reveals diverse microbiome functions, limited temporal variation and substantial genomic conservation

Yuki Amano, Rohan Sachdeva, Daniel A. Gittins…·Jillian F. Banfield

The paper characterizes microbiomes in underground research labs, finding genomic conservation and similar functional profiles despite environmental differences.

11 citations

metagenomicsstatistical model

𝕏 PostBluesky

BioinformaticsbioRxivPreprintMay 21, 2020

Taxonomically and metabolically distinct microbial communities with depth and across a hillslope to riparian zone transect

Adi Lavy, Paula B. Matheus Carnevali, Ray Keren…·Jillian F. Banfield

The paper investigates microbial community structure and metabolic potential along a hillslope to riparian zone transect using genome-resolved metagenomics and stable isotopes, finding distinct communities and functions across depth and landscape position.

10 citations

metagenomicsstatistical model

𝕏 PostBluesky