Biomedical Data Scientist II
Francesco Tamiro
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.
A History of Consistent Extraordinary Impact
Academic Excellence
Exam Average (Out of 30) vs. National STEM Avg.
Time Efficiency
Years to Degree Completion (Lower is better).
Benchmarked against Almalaurea National Data for Biology cohorts.
- Exceptional Efficiency: Completed the Bachelor's degree in 2.75 years, significantly outperforming the national average of 5.1 years for the same cohort (a 46% time reduction).
- Accelerated Master's Path: Finished the Master's degree in just 1.73 years (631 days), compared to the national benchmark of 2.7 years (36% faster than the average).
- Accelerated Excellence: Demonstrated a consistent ability to navigate complex STEM curricula at approximately twice the speed of the national student population while maintaining top-tier grades. Awarded University Excellence Prize annually for ranking in the top 5% of students and Regional Degree Prize upon graduation.
PhD Funding & Salary Benchmark
Annual gross salary comparison (€).
Publication Impact Factor Benchmarks
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.
- Competitive PhD Funding: Earned €30,000/year during PhD, 95.5% higher than the national average of €15,343.28. Top 1% of financed research with market value double that of peers.
- Publication Impact Excellence: Research output exceeded global/national averages (IF 3.8-4.9), University of Rome Tor Vergata benchmark (IF 5.45), and IRCCS Casa Sollievo della Sofferenza standards (IF 6.81).
Data Science Projects
Sylvester Data Portal
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 IntegrationAI Agentic Framework STEALTH
Advanced 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 ShinyGenomic Landscape Analyses
Comprehensive multi-omics data integration and visualization for biomedical research cohorts.
R Python Shiny Jupyter ML ComplexHeatmapSingle Cell Visualizer
Interactive tool for basic representation of adata objects, designed for quick sharing and collaborative result screening.
Python Streamlit Shiny for Python AnnData PlotlySelected Publications
Personal Projects
Absolute PitcheD
A 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.
UOL (Unified Ops Language)
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.
codeDflow
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.
Nosce Te Ipsum STEALTH
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.
Get In Touch
Let's discuss how we can collaborate on exciting bioinformatics projects
Let's Connect
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.