Robinson Vidva

Computational Biologist

Making sense of biological data

Computational biologist working across neurodevelopment, immuno-oncology, and drug discovery. This site collects the tools, research, and open-source projects behind that work.

The work centers on integrating transcriptomics, metabolomics, and genomics data to understand disease mechanisms and evaluate treatment options. Recent projects are in pediatric neurodevelopment.

Methods: multi-omics integration, NGS & variant analysis, machine learning, and systems-biology modeling.

Tools you can use

Free, open-source, browser-based tools for computational biology. No install, no sign-up, and no data leaves your machine.

DrugInteract

Educational drug-interaction reference that checks what each drug's FDA label says about another. Fully client-side.

openFDA · RxNorm

enrichlite

Gene-set over-representation analysis for human and mouse that runs entirely in the browser. GO, Hallmark, Reactome.

GO · Reactome · Hallmark

drugtargets

Drug-target exploration and repurposing-hypothesis tool built on Open Targets and openFDA.

Open Targets · openFDA

Selected work

Neurodevelopmental data analysis

Multi-omics analysis of preterm-birth effects on brain development, with behavioral phenotyping in mouse models using DeepLabCut and B-SOiD.

Immuno-oncology & precision medicine

Patient-specific drug-response models built from cancer genomic data, trained and benchmarked on more than 500 cancer cell lines, plus multi-cell models of tumor and immune signaling.

Predictive disease modeling

Pathway models for autoimmune disease and cancer, checked against mouse, cell-line, and patient data. The work led to two patented drug combinations (three grants, US and European) and three published applications.

Open-source scientific tools

MyVivarium, an open-source platform for managing research animal colonies (first author, CSBJ 2025), plus the browser-based tools above.

Latest

Paper · Oct 2026 Prematurity Insults Remodel Cerebellar Development and Behaviour. Sanidas, G., …, Vidva, R., …, Kratimenos, P. Brain.
Preprint · revised Sep 2026 Intrinsic Gestational Timing Governs Human Cerebellar Development After Preterm Birth. Sanidas, G., …, Vidva, R., …, Kratimenos, P.
Article · Sep 2026 Over-representation analysis: what the numbers mean. A plain guide to gene-set enrichment tests, and how to run one in the browser. Read →