Author

Neha Tadimeti

Nvidia (United States)

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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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Assay:metagenomics· 1

Frequent Co-Authors

Aaron W. KollaschiD· 1 shared Akira KunitomiiD· 1 shared Alexandros Papadopoulos· 1 shared Alexis J. CombesiD· 1 shared Ali Taghibakhshi· 1 shared Alicia Frame· 1 shared Andrew C. YangiD· 1 shared Anne M. Bara· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperGenomics

Aaron W. KollaschORCID

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Author profile →

2 papers

Recent·Most cited

Temporal AI model predicts drivers of cell state trajectories across human aging

Javier Gómez Ortega, Rangarajan D. Nadadur, Akira Kunitomi, Steven Kothen-Hill, Julian U G Wagner, Sarp Kurtoglu, Bumjoon Kim, Madigan M. Reid, Thomas Lu, Kaho Washizu, Lukas Zanders, Han Chen, Yujie Zhang, Sarah Ancheta, Sara Lichtarge, , Christina V. Theodoris

The paper introduces a temporal AI model, MaxToki, trained on extensive gene data to predict cell state changes across human aging and identifies age-modulating targets.

bioRxiv · Apr 1, 2026 · PreprintBioinformatics

Designing AI-programmable therapeutics with the EDEN family of foundation models

Geraldene Munsamy, Gavin Ayres, Carla Greco, Keith Y K Kam, Gus Minto-Cowcher, John St John, Tanggis Bohnuud, Matthew H. Bakalar, William Chow, Robert J. Pecoraro, Marcelo D. T. Torres, Aaron W. Kollasch, Marcus H. Y. Leung, Hassan Sirelkhatim, Francesco Farina, , Philipp Lorenz

This paper introduces the EDEN family of foundation models for AI-programmable therapeutic design, demonstrating their ability to generate functional gene insertions, antibiotic peptides, and synthetic microbiomes.

bioRxiv · Feb 9, 2026 · PreprintGenomics