GitHub

šŸ‘‹ Hi, I’m Vivek Das and you can find more about me in my website Vivek Das

  • šŸ‘€ I work on finding therapeutic target or biomarkers (prognostic/predictive) for multiple cardiometabolomic (e.g. Chronic Kidney, Athersclerosis, Diabetes, Liver, Neurodegenrative, etc.) diseases combining data-driven and knowledge-driven avenues by leveraging the integreation of bulk and single cell multi-omics data alongside clinical data from human observational cohorts and clinical trials

  • 🌱 I currently collaborate, lead studies or projects and team of exceptional clinical data scientistists and bioinformaticians involving single-cell transcriptomcis, spatial transcriptomics, proteomics, metabolomics, multi-omics data integration, clinical data integration to achieve the above

  • šŸ’» I also worked on omics projects involving preclinical data with interventional designs e.g. knockout or drug treated at single cell or bulk multi-omics level

  • šŸ’žļø I also collaborate on developing applied machine learning models using publicly available data with curious students or researchers and contribute to open science and open source modeling. I am fascinated by the potential of high-dimnesional and high-throughput biomedical data.

  • šŸ“š To read more about our works kindly check out Google Scholar page at: https://scholar.google.it/citations?user=l_Aj58cAAAAJ&hl=en

  • šŸ“« vivekdas.0687@gmail.com

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  1. Github Repository for multiOmics Integration project involving genomics, epigenomics and transcriptomics

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  2. A cell-type annotation method for single cell transcriptomics data using semi-supervised learning

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  3. Literature intelligenece feed daily tracker

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  4. This is a protoype biomarker analysis tool commonly used in trial developed using Gemini 3 and deployed using Google AI Studio

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  5. Literature intelligenece feed daily tracker 2026

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Read the original on github.com ↗