Author

Ekansh Mittal

Stanford UniversityPrimary ORCID profile (0000-0003-0546-2151 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Same name, identified by ORCID

Ekansh MittaliD1 paper · Oregon Health & Science University

Biology Disciplines

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Genomics· 3 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Ashwin GopinathiD· 3 shared Elon LitmaniD· 3 shared Timothy KassisiD· 3 shared Tyler D. MyersiD· 3 shared Vinayak AgarwaliD· 3 shared Orion Li· 1 shared Young Bok KangiD· 1 shared

Activity by Year

2022-2026 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 15 mutual co-author links

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3 shared papersGenomics

Ashwin GopinathORCID

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Author profile →

4 papers

Recent·Most cited

MetaMuse: A Multi-Agent AI System for Biomedical Metadata Curation and Harmonization

Ekansh Mittal, Elon Litman, Tyler D. Myers, Vinayak Agarwal, Ashwin Gopinath, Timothy Kassis

MetaMuse curates and harmonizes biomedical metadata using a multi-agent AI system, achieving high accuracy and scalability in standardizing unstructured data from repositories like GEO.

bioRxiv · Apr 20, 2026 · PreprintGenomics

GeneJEPA: A Predictive World Model of the Transcriptome

Elon Litman, Tyler D. Myers, Vinayak Agarwal, Ekansh Mittal, Orion Li, Ashwin Gopinath, Timothy Kassis

This paper introduces a self-supervised foundation model for single-cell transcriptomes that predicts gene sets from context and outperforms baselines in downstream tasks.

bioRxiv · Oct 14, 2025 · PreprintGenomics

REVIVE-Flow: A Foundation Model for Blood DNAm Aging

Elon Litman, Tyler D. Myers, Vinayak Agarwal, Ekansh Mittal, Ashwin Gopinath, Timothy Kassis

Revive-Flow predicts and reverses blood DNA methylation aging using a flow-matching model trained on epigenetic data, achieving high accuracy in rejuvenation.

bioRxiv · Sep 18, 2025 · PreprintGenomics

A Microfluidic Device to Simulate the Impact of Gut Microbiome in Cancer

Ekansh Mittal, Young Bok Kang

This paper develops a microfluidic device to simulate gut microbiome interactions with cancer cells and shows that bacteria and LPS promote colorectal cancer growth.

bioRxiv · Nov 13, 2022 · PreprintBioinformatics