COMPUTATIONAL
BIOLOGIST
Specializing in Translational Drug Discovery
Computational Biologist with 7+ years of experience in multi-omics integration and translational biomarker analysis. Proven track record of pharma collaborations (BMS, Takeda, Japan Tobacco) and contributions to biological insights in oncology, immunology, and metabolic disease. Currently at Battelle, applying AI/ML to analytical pipelines and developing scalable workflows.
Develops analytical frameworks that integrate biology, machine
learning, and multi-omics data to drive systems-level insights from
complex, heterogeneous datasets.
Domains: Immuno-oncology · Metabolic disease (NAFLD)
· Neurodegeneration (AD, TBI)
Expertise: Single cell · Multi-omics integration ·
Machine Learning · Pipeline development · Analytical templates ·
Interactive reports
2024- Present
Hackensack Meridian Health
Pair-wise integration Immunology
T cell LineageDana Farber Single-cell RNA-seq
scTCR-seq Immunology Oncology
DeconvolutionBattelle
Deep Learning PyTorch/Tensorflow
CVAE TCGA LUAD
AutoEncoderBattelle
MOFA2 Cell Painting Transcriptome
Drug response Human lung cancer
Multiomics| Repository | Description |
|---|---|
| tle3-multiomics-NI2024 | Multi-omics analysis for the TLE3 study (Nature Immunology, 2024), integrating RNA-seq, ATAC-seq, and ChIP-seq. |
| pubmed-local-rag | Local RAG pipeline for querying PubMed literature using LLMs — offline, context-aware search without API calls. |
| lung-tme-deconv-profiler | Bulk RNA-seq deconvolution pipeline for tumor microenvironment (TME) profiling in lung cancer. |
| rnaseq_local_chat | Local LLM chat interface for interactive RNA-seq exploration — query DEG and pathway results in natural language. |