eSupervisor Detail

About me

Dedicated Bioinformatician & ML Practitioner with 3+ years of experience bridging data science and oncology/neurology research. Expert in building robust AI models and scalable NGS pipelines (scRNA-seq, bulk RNA-seq, ATAC-seq). Proven track record in multi-omics integration, biomarker discovery, and developing interactive visualization tools like R Shiny. Adept at transforming complex datasets into actionable therapeutic insights with high analytical rigor and reproducible workflows.

Interests: Cancer Genomics & Immunotherapy: Investigating tumor microenvironments, immune cell states, and therapeutic response markers, with a specific focus on CAR macrophage therapy and solid tumors.Single-Cell & Spatial Transcriptomics: Developing and optimizing computational pipelines (scRNA-seq, ATAC-seq, Spatial Transcriptomics) to map cellular heterogeneity and regulatory hubs in complex diseases.AI & Machine Learning in Bioinformatics: Applying deep learning (CNNs, VGG16) and advanced machine learning models for disease classification (e.g., ASD, brain tumors) and high-dimensional biological data visualization.Multi-Omics Data Integration: Combining genomics, transcriptomics, and proteomics datasets using statistical approaches to discover cross-platform biomarkers and clinical targets.Neurodegenerative & Neurodevelopmental Disorders: Exploring the underlying molecular mechanisms of Alzheimer’s, Parkinson’s, and Autism Spectrum Disorder (ASD) relative to synaptic plasticity and aging.