I鈥檓 a product-minded computational biologist. I like building tools that make omics data easier to explore, trust, and share. I build interactive apps and AI-assisted tools for genomics and multi-omics integration, spanning bulk, single-cell, and Perturb-seq RNA-seq through whole-exome data, with a focus on modular design and reproducible workflows.
- Software Engineering Intern, Shiny team @ Posit (Summer 2026), building Shiny apps for life sciences.
- Doctoral Researcher in Bioinformatics @ UAB.
- Previously: Human Genetics (gRED) intern @ Genentech (Summer 2025).
- Building agentic AI tools for scientific data exploration.
- 8 peer-reviewed publications in computational biology & genomics (ORCID).
- Languages R 路 Python 路 Bash 路 SQL 路 JavaScript
- Apps & viz Shiny 路 Quarto 路 React 路 Node.js 路 Leaflet 路 dygraphs
- Genomics Seurat 路 nf-core 路 bulk/sc/Perturb-seq 路 WES 路 ATAC-seq 路 eQTL/GWAS
- Agentic AI LangChain 路 MCP 路 Google ADK 路 OpenAI APIs 路 tool calling
- Infra Docker 路 AWS 路 GCP 路 SLURM/HPC 路 Git
Agentic AI for science
- genescout: turn a candidate gene list + disease context into a ranked, evidence-supported review. Deterministic keyless core, optional Claude agent layer. Repo: https://github.com/samuelbharti/genescout 路 Hackathon: https://www.samuelbharti.com/claude-science-hackathon.html
- biobouncer: a gate for biological inputs that validates gene symbols, ontology terms, variant formats, and database identifiers. Repo: https://github.com/samuelbharti/biobouncer 路 Docs: https://www.samuelbharti.com/biobouncer/
- RAPTOR: agentic system that extracts phenotypes, genes, diseases, and ontology-linked concepts from unstructured patient records (unreleased).
R / Shiny tooling
- R Shiny Template: reusable template for bioinformatics web apps. Repo: https://github.com/samuelbharti/RShiny_template
- Peacock: R package for project initialization/workflow management. Repo: https://github.com/samuelbharti/peacock 路 Docs: https://www.samuelbharti.com/peacock/
- LLM in R-Shiny: drop-in chatbot module for Shiny apps. Repo: https://github.com/samuelbharti/RShiny_LLM_Module
- Install my R packages via r-universe: https://samuelbharti.r-universe.dev/
Genomics apps & analysis
- MOLV (Multi-Omics Locus Viewer): locus-first Shiny app + R package built at Genentech to explore 11,000+ GWAS, eQTL, pQTL, single-cell, and ATAC-seq datasets in Alzheimer's disease (private)
- scRNA-seq Analysis Integration App (in dev): nf-core outputs + Seurat + pseudobulk + CellChat in one place (unreleased)
- Pediatric Thyroid Cancer Explorer: interactive WES/bulk RNA exploration. Repo: https://github.com/uab-cgds-worthey/ptc-explorer
- SEAS: clinical feature enrichment + prediction. App: https://aimed-lab.shinyapps.io/SEAS/ 路 Docs: https://aimed-lab.github.io/SEAS/
Databases & earlier work
- PAGER / PAGER Web App: pathway + gene-set enrichment tooling + network views. Site: http://discovery.informatics.uab.edu/PAGER/ 路 Repo: https://github.com/aimed-lab/PAGER-Web-APP
- sMAP: transcriptomics QC + stats + biomarker discovery (built for non-coders). Docs: https://bi-stem-away.github.io/sMAP/ 路 Demo PDF: https://mentorchains.github.io/STEM-AWAY_AWS_BI_2021/sMAP_demo.pdf 路 Repo: https://github.com/BI-STEM-Away/sMAP
- BioDivPortal (Poland): biodiversity exploration app. Repo: https://github.com/samuelbharti/BioDivPortalPoland 路 App: https://samuelbharti.shinyapps.io/BioDivPortal/
- PepEngine: structural database for synthetic peptides. https://pepengine.in/
- GlucoKinaseDB: curated database of glucokinase modulators. https://glucokinasedb.in/ 路 Dataset/API: https://glucokinasedb.in/dataset
- VIRdb 2.0: vitiligo resource
- Instructor at Carpentry Workshop on "R and Git" at UAB. https://u-bds.github.io/2026-01-29-uab/
- Instructor at Carpentry Workshop on "Bash Shell, Git, Text Editor, and Python" at UAB. https://u-bds.github.io/2024-03-18-uab/
- Instructor at Carpentry Workshop on "Bash Shell, Git, Text Editor, and R" at UAB. https://u-bds.github.io/2023-12-14-uab/
- Helper at Carpentry Style Workshop on "Bulk RNA-Seq" at UAB. https://u-bds.github.io/2024-07-09-uab/
- Flash Talk on R Shiny Bioinformatics app on AWS EC2. https://mentorchains.github.io/STEM-AWAY_AWS_BI_2021/
- Additional Resource: R For Beginners (WEB + Quarto Slides) https://github.com/samuelbharti/r-for-beginners



