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Teaching myself to let Computer & Biology battle basic 4 letters that make up DNA, RNA & Amino Acids despite a Systems Medicine PhD(Comp Bio curriculum) ;)
π Hi, Iβm Vivek Das and you can find more about me in my website Vivek Das
π 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
π± 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
π» 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
ποΈ 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.
This study includes 54 mouse kidney samples stratified into 9 groups based on disease, treatment, and genotype explanatory variables. The table below summarizes the experimental design.