I work on multi-omics systems biology.
My work focuses on extracting mechanistic insight from complex biological data using network-centric modeling, mathematical reasoning, and reproducible computational pipelines.
Research philosophy
I approach biological systems as interacting, dynamic networks rather than isolated components. My goal is to move beyond descriptive analysis and identify regulatory bottlenecks, causal structure, and therapeutic vulnerabilities.
I work across neurodegeneration and cancer, integrating transcriptomics, proteomics, phosphoproteomics, and metabolomics to connect molecular regulation with phenotype.
Core principle: Every computational result should be reproducible, interpretable, and grounded in biological mechanism—not just statistically significant.
What I work on
Four interconnected pillars of my research approach
Multi-omics integration
Joint analysis of RNA, protein, phospho-signaling, and metabolites to link regulation to phenotype.
Network-centric target discovery
PPI and regulatory networks, centrality and diffusion methods, and module-level interpretation.
Modeling & interpretability
Mathematical and machine-learning models with an emphasis on explanation, uncertainty, and robustness.
Reproducible methods
Transparent pipelines, parameter logging, versioned datasets, and rerunnable analyses.
Methods & tools
Computational approaches and software I use regularly
Computational methods
- Differential expression & pathway activity analysis
- Network construction and module discovery
- Trajectory / pseudotime analysis
- Evidence-aware interpretation layers
Software & platforms
- R / Bioconductor, Python, MATLAB
- Nextflow-based reproducible workflows
- Seurat, Monocle, limma, DESeq2
- STRING, igraph, network analytics
Domain expertise
Disease contexts and biological systems I focus on
Neurodegeneration
Alzheimer's, Parkinson's, and related disorders. Focus on protein aggregation, synaptic dysfunction, and neuroinflammation through multi-omics lens.
Cancer biology
Tumor heterogeneity, drug resistance mechanisms, and biomarker discovery. Systems-level analysis of signaling dysregulation and metabolic rewiring.
Let's collaborate
I am open to research collaborations, consulting, and interdisciplinary projects involving complex biological datasets and systems-level analysis. If you have interesting data, challenging problems, or novel hypotheses to test, I'd love to hear from you.