I'm a computational biologist and biochemist based in Boston, MA. I build practical tools for biological data analysis, scientific visualization, and AI-assisted research workflows.

My work sits at the intersection of biology, software engineering, and data-intensive analysis. I am especially interested in tools that make complex biological datasets easier to explore, visualize, and reason about.

• Computational biology and genomics tooling
• Scientific Python workflows for biological data analysis
• Data visualization for genomic tracks and biological signals
• Local-first AI agents for research and development workflows
• Reproducible, practical software for scientists

• ChainAgents - A local-first LangChain Deep Agent behind a Chainlit UI, built around agentic AI workflows, MCP, and reusable skills.
• Chroma - A dependency-free color & gradient picker in a single HTML file: canvas color wheel with harmony overlays, OKLab gradients, WCAG contrast checking, and PNG/SVG export (live demo).
• webPlasmid - A dependency-free, browser-based plasmid viewer: circular maps with strand-aware feature arrows, primers, and restriction sites; reads SnapGene .dna and GenBank files or fetches records straight from NCBI (live demo).

• Wigman - Python tools for generating heatmap plots from genomic BigWig data.
• IsoKall - Iso-Seq and Kallisto integration for RNA-seq workflows.
• PyMAP - A Python package for methylation analysis of probes.
• pyCircs - Tools for circRNA analysis.

Python, bioinformatics workflows, genomics, RNA-seq, data visualization, LangChain, Chainlit, MCP, scientific computing, and research software development.

• Website: aminmahpour.com
• GitHub: AminMahpour
• X/Twitter: @Kavoshex