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.
Affiliated Faculty, Center for Artificial Intelligence in Medicine & Imaging (2020 - Present)
Honors & Awards
(CLARIFY) Cancer Long Survivors Artificial Intelligence Follow Up Co-PI, European Commission Horizon2020 (H2020-SC1-DTH-2019) https://cordis.europa.eu/project/id/875160 (1 January 2020-31 December 2022)
PhD, Data Science Institute, National University of Ireland, Galway, Data Science, Cancer Genomics, Machine Learning, Biomarker Discovery (2019)
Research Student, Beth Israel Deaconess Medical Center, Harvard University, Pancreatic and Prostate cancer (2017)
MS, Manipal University, Udupi, India, Medical Data Science, Genomics (2014)
BS, Hemchandracharya North Gujarat University, Gujarat, India, Electronics and Communication (2010)