Real Scientific Discovery & Computational Innovation
Researchers and top-performing mentees collaborate on active scientific projects across cancer genomics, neurogenomics, and AI-accelerated drug discovery — producing publication-grade methodologies and reproducible code.
3 Active
Research Tracks
100+
Datasets Harmonized
100ns
GROMACS MD Simulations
100%
Reproducible Pipelines
Core Specializations
Active Research Focus Tracks
Our lab focuses on high-impact computational biology areas with dedicated computational infrastructure.
Cancer Genomics & Transcriptomics
Integrative analysis of tumor transcriptomes, somatic mutations, and immune microenvironments to identify prognostic biomarkers and therapeutic targets across multiple cancer types.
Neurogenomics & Brain Atlases
Computational dissection of gene expression landscapes in neurological and neurodegenerative disorders to uncover cell-type-specific dysregulation and novel disease pathways.
Next-Gen Drug Discovery with AI
Computational identification of therapeutic targets, high-throughput virtual screening, 100ns GROMACS molecular dynamics simulations, and deep learning for bioactivity & ADMET forecasting.
Ongoing Projects
Active Lab Research Initiatives
Ambitious multi-omics and structural biology projects conducted by DeepBio research fellows and top mentees.
Harmonized Cancer Cell Atlas
Constructing high-resolution single-cell atlases across 10+ cancer types using variational integration and CellTypist.
Neurogenomics Reference Map
Mapping cell-type-specific dysregulation in neurodegenerative disorders via cross-cohort single-cell harmonization.
Pan-Cancer TME & Immune Profiling
Computational profiling of the tumor immune microenvironment to identify universal prognostic markers and checkpoint targets.
AI-Driven Molecular Therapeutics
Deploying graph neural networks and 100ns GROMACS solvent simulations to discover patient-specific therapeutic hit compounds.
Standard Operating Procedures
Core Computational Workflows
Production-grade computational workflows used across all DeepBio research investigations.
Bulk RNA-Seq Meta-Analysis
Large-scale transcriptomic discovery using harmonized public datasets from GEO, SRA, and TCGA.
Single-Cell Harmonization & Atlas Construction
Cross-cohort atlas construction, cell annotation, and comparative analysis using global single-cell repositories.
ML/DL in Genomics & Clinical Biomarkers
Training predictive models (XGBoost, DNNs) on high-dimensional multi-omics data for prognostic biomarker discovery.
AI Drug Discovery & Molecular Dynamics
Structure-based virtual screening, 100ns GROMACS molecular dynamics, and graph neural network bioactivity prediction.
Selected Lab Publications
Peer-reviewed research and reproducible computational pipelines at the intersection of cancer transcriptomics, functional genomics, and precision oncology.
Pan-cancer analysis reveals immunological and prognostic significance of CCT5 in human tumors
Meta-Analysis of Genomic Variants Using Integrative Computational Methods
