Empowering clinicians and researchers with cutting-edge bioinformatics tools that bridge the gap between bedside, bench, and bytes.
I am a computational biologist and aspiring physician-scientist with a passion for developing AI-driven platforms to improve prognosis and overcome therapeutic resistance in prostate cancer. My research focuses on building foundational 'big-data' resources, developing novel AI models to interpret these datasets, and validating these findings experimentally.
Access raw data and processed files from our publications via Figshare. All datasets are freely available for the research community.
1,840 prostate cancer cell line samples with comprehensive RNA-seq data for precision medicine research.
Single-cell RNA-seq objects in Seurat V5 format for human and mouse prostate cancer atlases.
Complete multi-omics dataset for androgen deprivation therapy resistance research (500+ samples across multiple timepoints).
Our web-based tools provide intuitive access to complex multi-omics datasets.
Single-Cell Atlas Explorer. Navigate the cellular landscape of prostate cancer with unprecedented detail through our comprehensive single-cell RNA sequencing atlas.
Prostate Cancer Cell Line Encyclopedia. Optimize your research model selection with comprehensive molecular profiling of 2,000+ prostate cancer cell lines.
Deciphering Resistance Mechanisms. Explore the molecular evolution of treatment resistance through integrated multi-omics analysis.
Pan-Cancer Transcriptome Atlas. Compare prostate cancer biology with 535+ cell lines across 114 cancer types.
AI-powered research assistants that streamline complex analytical tasks.
Integrated Single-Cell Analysis Pipeline. A comprehensive pipeline for single-cell transcriptomics analysis, integrating data processing and annotation.
Smart Research Assistant. An intelligent research assistant leveraging Large Language Models to accelerate literature review.