Senior Computational Scientist with 18+ years of experience across healthcare, academia, and translational research in the US, Middle East, and Asia — turning large-scale multi-omics data into reproducible, clinically actionable insights.
After 18+ years running bioinformatics pipelines across hospitals, universities, and research institutes on three continents, one problem kept repeating itself: every new project meant starting over.
Installing dozens of tools. Resolving dependency conflicts. Rebuilding pipelines from scratch. Porting workflows between local machines, HPC clusters, and cloud environments — each one behaving differently. Hours lost before a single base was aligned.
"I built OmniBioAI because I was tired of the setup getting in the way of the science. Researchers should spend their time asking biological questions — not debugging environment configurations."
OmniBioAI changes that. Upload your data, choose your pipeline, and run. Everything is already there — tools, plugins, workflow engines, and an AI reasoning layer — ready to go across any environment.
Most bioinformatics platforms solve one piece of the puzzle. OmniBioAI unifies the entire stack: reproducible multi-omics pipelines, modular plugins, agentic AI orchestration, and full provenance tracking — in a single platform.
Instead of a command line and a stack of documentation, researchers get a workbench. Choose from 16+ pipeline types covering scRNA-seq, WGS, proteomics, methylation, spatial transcriptomics, drug discovery, and more.
And for exploratory analysis, there's a prompt-based AI interface. Describe what you want to find — OmniBioAI's LangGraph agent handles the rest, reasoning across tools and datasets to surface biologically meaningful insights.
Built and hosted on a self-funded home AI supercomputer — an NVIDIA DGX Spark — and now open to the research community.
Built up across 18+ years of production bioinformatics and AI platform engineering.
Join the private beta — upload your data, pick a pipeline, and run reproducible multi-omics analysis in minutes.