My academic training and research experience have provided me with a comprehensive understanding of cancer multidisciplinary approaches, including pathological diagnostics, clinical management, molecular biology, genomics, intratumoral heterogeneity, and bioinformatics. During my PhD program, I gained extensive experience in using Next Generation Sequencing (NGS) to study inter- and intra-patient tumoral genetic heterogeneity. I performed in-depth analysis of somatic mutations, differential gene expression, copy number variation (CNV), tumor clonality, intratumoral heterogeneity, and ploidy scoring based on high throughput data.  Currently, I lead a multidisciplinary research team of medical biologists, a bioinformatician, and students focusing on cancer genomics and translational oncology. We are a pioneering group in Indonesia in implementing spatial transcriptomics to study intratumoral heterogeneity and the tumor microenvironment (TME), integrating analyses of tumor, immune, and stromal cells.  In parallel, we are developing machine learning models on histopathological slides to predict tumor genomic profiles and to identify immune cell populations within TME.