Mario Marcolongo
Curriculum Vitae v2026.07.14 · Updated: July 2026AI-Native Systems Builder · Open Science Technologist · Empirical Data Synthesizer
Executive Summary
AI-native software developer, open science builder, and scientific fact-checker with 9+ years of experience verifying biomedical and technical claims across public knowledge bases (4,317 documented edits across English/Italian Wikipedia, Wikidata, and Wikimedia Commons). Founder and lead developer of Yourself to Science™ (yourselftoscience.org), an open-source catalogue and unified directory indexing 55+ initiatives where people can contribute their biological and digital self (including genomic data, biological samples, biobanks, and clinical trials) to scientific research. Managed technical web infrastructure (OVHCloud, custom WordPress, SEO) and upheld scientific integrity for Entropy for Life (245,000+ YouTube subscribers / 480,000+ cross-platform community)—conducting bibliographic research, fact-checking scripts, and creating empirical data visualizations across 55+ documentaries and articles, earning formal acknowledgment in a Mondadori book. Volunteer research facilitator under Prof. Marta Panzeri at the University of Padua Department of Developmental Psychology and Socialisation (Nov 2022 – 2025), designing standardized focus group protocols and co-conducting psychological research sessions with autistic participants to inform educational strategies and support programs.
Professional Experience & Open Science Leadership
- Launched and currently manage Yourself to Science, a comprehensive open-source catalogue and unified directory indexing 55+ clinical trials, biobanks, tissue/blood donation programs, and digital health registries enabling individuals to contribute their biological and digital self to scientific research.
- Architected AI-native Linked Data infrastructure (JSON-LD, RDF Turtle/VoID graphs, live MCP Server, standard llms.txt, OpenAPI spec) indexed in FAIRsharing and Zenodo.
- Published as a 100% Open Science stack: catalogue dataset dedicated to the public domain (CC0 1.0 Universal), website content under CC BY-SA 4.0, and platform codebase under AGPL-3.0.
- Core content contributor upholding scientific integrity and quality across media for a leading Italian science communication project (245,000+ YouTube subscribers / 480,000+ cross-platform community); responsible for script writing, in-depth bibliographic research, rigorous fact-checking, and creating data visualizations.
- Formally acknowledged as a trusted primary literature researcher on the final page of Giacomo Moro Mauretto's Mondadori book Italiani veri. Storia evolutiva e genetica del nostro Paese.
- Sole web developer for the project's official website (entropyforlife.it), handling full lifecycle on OVHCloud (hosting, DNS, SSL), custom WordPress layout/functionality, and technical SEO strategies.
- Contributed as a volunteer researcher to a psychological focus group study on sexuality in the autism spectrum led by Prof. Marta Panzeri. The study aimed to gather qualitative insights on the sexual experiences of autistic people to inform educational strategies and support initiatives.
- Developed the standardized facilitation guide for focus groups—including scripting and behavioral protocols—to ensure consistent, reproducible session execution.
- Managed recruitment processes across autistic communities, conducted bibliographic searches, and verified scientific literature.
- Served as primary conductor and co-conductor for recorded focus groups with autistic participants, establishing psychological safety while managing technical session infrastructure.
- Author of 4,317 verified public edits across Wikimedia projects (1,592 English Wikipedia, 1,249 Wikidata, 752 Italian Wikipedia, 684 Wikimedia Commons).
- Created original data-driven scientific diagrams and biomedical visualizations independently adopted across 4 Wikipedia language editions and open-access repositories.
Genomic & Computational Science Contributions
- Donated personal 41× Whole Genome Sequencing raw paired-end FASTQ reads (DNBSEQ-T7) to the public domain (CC0) under ENA BioSample SAMEA121950568.
- Utilized Terra.bio cloud platform to process raw FASTQ reads aligned against the GRCh38 human reference genome to extract high-coverage GRCh38 BAM and VCF files.
- Architected downstream local bioinformatic pipeline on Apple Silicon (M4 Macbook)—converting VCF to Plink2 (PGEN/PVAR/PSAM) and executing Nextflow pgsc_calc with PCA ancestry projection against 1000 Genomes / HGDP reference panels.
- Engineered custom Python extraction pipelines for VEP-annotated VCFs—calculating multi-trait Z-Score standardized Polygenic Risk Scores, pharmacogenomic/lifestyle loci, mitochondrial heteroplasmy, and novel 'dark matter' variant filtration mapped to HPO/MONDO ontologies.
- Published 70+ interactive empirical public health, epidemiological, and biomedical visualizations across Wikimedia Commons, Tableau Public (15 Vizzes, 4,300+ views), and Flourish.
- Created original vector Euler diagram illustrating overlapping clinical phenotypes across autism spectrum disorder (ASD), dystonia, epilepsy, and schizophrenia (View Diagram ↗), published under CC BY-SA 4.0 and adopted across 4 Wikipedia language editions.

- Synthesized primary biomedical datasets—including H5N1 avian flu preparedness, carotid plaque microplastic pathology, age-stratified COVID-19 mortality, and ISTAT epidemiological trends—into open-access visual evidence repositories and vector charts.
Open-Source Software & Production Tools
- Smart Search Filtering: Highlights or hides MDPI papers across Google Scholar, PubMed & Europe PMC integrating NCBI API.
- Universal Citation Styling: Automatically distinguishes reference lists & inline footnotes on any publisher article online.
- Interactive Overview: Live toolbar badge count and one-click scrolling directly to detected citations.
- 100% serverless cloud execution on AWS Lambda and API Gateway with zero baseline operating cost.
- Supports real-time interlanguage link resolution across all Wikipedia language editions.
- Automated continuous deployment via GitHub Actions workflow.
- 16 interactive chapters blending essay narration with live network simulations.
- Models cognitive node limits, signal vs. noise filtering, and bridging nodes across echo chambers.
- Synthesizes information theory, network graph topology, and emergent collective memory.