Biomedical Data Scientist II
AI & Biomedical Data Science Architect with deep expertise in single-cell genomics and NGS pipelines. Specialized in translating complex computational analyses into production-grade, AI-first, FAIR-compliant data platforms & infrastructure that democratize advanced bioinformatics for researchers, clinicians, and the broader scientific community. EB-1A (Extraordinary Ability, First Preference) Green Card Holder.
Exam Average (Out of 30) vs. National STEM Avg.
Years to Degree Completion (Lower is better).
Benchmarked against Almalaurea National Data for Biology cohorts.
Annual gross salary comparison (€).
Average Impact Factor per publication.
Benchmarked against MUR Decree n. 40/2018, ADI Surveys (2019-2021), Clarivate JCR 2021, ANVUR VQR 2015-2019, and Ministero della Salute 2021 Report.
Leading production pipeline integration across Azure cloud, on-premise, and HPC environments. Specializing in AI integration for research workflows, advanced analytical microservices, and modular tertiary bioinformatics solutions for cancer research.
Azure R Python Bash Nextflow Cromwell React AI IntegrationAdvanced AI agentic framework for modular tertiary bioinformatic analysis. Automation-first architecture enabling intelligent research workflows and dynamic analytical pipelines.
Python R Bash LangChain OpenAI SDK ShinyComprehensive multi-omics data integration and visualization for biomedical research cohorts.
R Python Shiny Jupyter ML ComplexHeatmapInteractive tool for basic representation of adata objects, designed for quick sharing and collaborative result screening.
Python Streamlit Shiny for Python AnnData PlotlyA comprehensive training platform for perfect pitch. Built with React Expo for cross-platform availability (Android & Web), featuring advanced performance analytics such as semitone distance tracking for failed guesses.
A lightweight, human-first system for standardizing technical procedures. UOL converts free-form notes into structured YAML workflows to generate human-readable manuals and machine-interpretable documentation for AI-assisted automation.
An LLM-powered tool to reverse-engineer undocumented pipelines. It parses multi-language repositories (Python, R, Bash), uses GPT-4o to resolve cross-file dependencies via context-aware reasoning, and generates structural Graphviz flowcharts.
AI-driven self-discovery platform integrating SOTA psychological assessments and machine learning to predict compatible friendships, relationships, and collaborators. Features personalized AI journey with life improvement recommendations aligned to your goals and nature.
Let's discuss how we can collaborate on exciting bioinformatics projects
Whether it's optimizing a Nextflow pipeline or designing an end-to-end bioinformatics platform, I enjoy building tools that empower other scientists. Feel free to reach out if you're looking to bridge the gap between raw genomic data and meaningful research insights—I'm always up for a deep dive into the tech.