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Alok is a translational researcher working in systems biomedicine, healthcare data science, and disease modeling. His expertise uses AI, ML models for multi-dimensional omics, and diagnostic imaging data to predict risk, disease association, and relapse. His background in tumorigenesis, metastasis, tumor evolution, and cell-cell communication. yielded clinically translational biomarkers for gynecologic cancers, breast cancer, pancreatic cancer, multiple myeloma, and prostate cancer. He also developed several novel methods for biomarker discovery such as graph motif mining, Kirchoff's law traversal, graph convolution neural network, and the semantic web. His recent research is focused on explaining mosaicism genetics for cardiac amyloidosis and multiple myeloma.
Systems biomedicine, Genetic Risk score, Tumor modelling, Radiomics