Translational Data Science

Bridging Wet-Lab Insight with Multi-Omics Architecture

Scalable, end-to-end computational frameworks providing advanced inference, single-cell analysis, and structured machine learning pipelines for therapeutic discovery.

Analytical Capabilities

High-throughput custom analytics mapping cellular mechanisms across diverse biological layers.

Transcriptomics

Bulk and single-cell expression profiles mapping complex cellular heterogeneities.

Seurat v5 Spatial Transcriptomics DESeq2

Proteomics

Mapping expression dynamics, structural changes, and critical protein-protein interaction networks.

Mass Spec Processing PPI Networks PTM Mapping

ML / AI Architecture

Predictive in silico modeling, deep learning sequence analysis, and structural validation pipelines.

Biomarker Discovery Predictive Modeling PyTorch

Biostatistics

Rigorous mathematical validation workflows ensuring data integration accuracy and survival significance.

Dimensionality Reduction Survival Analysis Multi-Omics Fusion

Molecular Biology

Mechanistic translational strategies bridging dry-lab discovery loops to actionable wet-lab models.

Target Validation Assay Architecture In Silico Tools