Computational Biologist · From Disease Models to Therapeutics
Computational biologist with 18+ years of experience in bioinformatics, multi-omics data analysis, neuroscience, immunology, immuno-oncology, and drug discovery. Research focuses on integrating transcriptomics, metabolomics, and genomics data to understand disease mechanisms and evaluate therapeutic interventions, with direct applications to improving pediatric health outcomes.
Proficient in Python, R, SQL, and MATLAB, with expertise in specialized tools like DeepLabCut and BSOID for behavioral analysis. Experience includes managing research teams and translating complex computational findings into biological insights that advance disease understanding and therapeutic development.
Applied multi-omics approaches to study preterm birth effects on brain development and quantified behavioral deficits using DeepLabCut and BSOID in mouse models.
Analyzed cancer genomics data across 500+ cell lines and immune pathway interactions to identify therapeutic targets, contributing to precision medicine advances.
Developed pathway models for autoimmune diseases and cancer therapeutics, validated against patient datasets. Secured 2 granted patents for drug repurposing.
Developed novel therapeutic combinations through computational analysis and co-developed MyVivarium, an open-source cloud app for research animal colony management.
How computational modeling enables drug repositioning — from autoimmune disease to oncology to integrating natural compounds to enhance cancer therapy.
Read articleAn open-source, cloud-based application for managing research animal colonies with IoT-based environmental monitoring.
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