Available for advisory & consulting

Chief AI
& Quantum
Officer

I help companies deploy Generative, Explainable, Federated and Quantum AI that works in production — with 30 years of experience alongside Intel, Airbus, BBVA, Vodafone, Capgemini, and others. Also Professor of Computer Science & AI at CUNEF Universidad, Madrid.

View projects → Let's talk LinkedIn ↗
30+
Years in Tech & AI
6.8K
Research Citations
h·39
H-Index · 200+ Papers
Top 2%
Stanford Scientists
Jose L. Salmeron
🎓
Professor CS & AI
CUNEF Universidad · Madrid
🏆
Stanford Top 2% Scientists
Global ranking · ISI Web of Science
⚛️
Chief AI & Quantum Officer
Stealth startup · 2025–present
Worked with
01 — Expertise

Areas of expertise

From strategy to deployment — bridging frontier research with real-world business impact across AI, quantum and data science.

🤖
Generative AI
Designing and deploying LLM-based systems, RAG pipelines and GenAI products for enterprise — reliability, governance and measurable ROI.
🔍
eXplainable AI
Building AI that justifies its decisions — audit-ready, transparent models for regulated industries: finance, healthcare and insurance.
🌐
Federated Learning
Training across distributed data without sharing it — ideal for multi-entity collaborations and cross-border data privacy requirements.
⚛️
Quantum Computing
Quantum-classical hybrid architectures for optimisation and ML. Advisory on quantum readiness strategy for enterprise organisations.
🧠
Causal Machine Learning
Moving beyond correlation — identifying root causes and building models for robust decision-making under uncertainty.
🔗
NeuroSymbolic AI
Neural flexibility combined with symbolic reasoning — enterprise AI that explains its logic in business terms, not just probabilities.
📡
Digital Twins & AI
AI-powered digital twin architectures for predictive modelling in healthcare, industrial infrastructure and smart environments.
🎓
Executive Training
Keynotes, executive AI programmes and technical workshops that translate frontier research into boardroom-level strategic decisions.
02 — Selected Projects

Delivering at scale

Industry and funded research projects — from pandemic response to quantum-assisted clinical diagnostics.

★ Featured
Capgemini × EU Next Generation
Distributed AI for Early Disease Diagnosis in Aging Populations
Led development of a federated AI platform enabling early diagnosis of high-prevalence age-related diseases across distributed hospital networks — without centralising sensitive patient data. Delivered as principal investigator of a €15M European programme, from architecture to production.
Federated Learning Healthcare AI XAI Distributed Systems
€15.3M
EU Next Generation · 2022–2024
Intel · Cisco · Vodafone
Federated Computer Vision for COVID-19 Diagnosis
Privacy-preserving federated learning for real-time COVID-19 diagnosis from medical imaging, across multiple providers without sharing patient records.
Computer Vision Federated Learning
—
2020–2021
BBVA · New Digital Business
eXplainable AI for Financial Decisions
XAI systems enabling transparent, audit-ready explanations for AI-driven financial decisions — addressing regulatory compliance at scale.
XAI Finance Compliance
—
2018–2019
CDTI · Spanish Ministry of Science
COVIDSION — Multipurpose AI for Pandemic Response
Federated, explainable AI platform for rapid pandemic response, delivered in under 18 months from architecture to production deployment.
Federated AI Public Health
€1.25M
2020–2021
Canadian CIHR · McGill University
Quantum AI for Cardiovascular Risk Detection in Women
Quantum-inspired interpretable AI for early cardiovascular risk detection using scarce clinical datasets — demonstrating explainability and performance are not mutually exclusive.
Quantum AI Digital Twins Clinical
$250K
Canadian CIHR · 2024–2026
03 — Background

30 years building
AI that matters

Over three decades I have moved between building real AI systems for industry and researching the frontier of what those systems can become. The combination is deliberate: industry keeps research grounded; research keeps industry honest about long-term risk and opportunity.

My work spans finance, healthcare, energy and defence — always with the same focus: helping organisations deploy AI they can trust, explain and scale without sacrificing performance. I've led projects from $250K to over €15 million, as both hands-on technical lead and C-level strategic advisor.

Currently Chief AI & Quantum Officer at a stealth startup and Professor of Computer Science & AI (Catedrático) at CUNEF Universidad — bridging frontier research with applied industrial innovation.

2025 — now
Chief AI & Quantum Officer
Stealth startup · Spain
2022 — now
Professor of CS & AI (Catedrático)
CUNEF Universidad · Madrid
2019 — 2025
Principal AI & Quantum Scientist
Capgemini · Madrid
2018 — 2020
Lead Data Scientist
BBVA New Digital Business · Madrid
2012 — 2022
Professor of Data Science (Catedrático)
Univ. Pablo de Olavide · Seville
Jose L. Salmeron
Jose L. Salmeron
Chief AI & Quantum Officer · Professor CS & AI
Ph.D. ACM Senior Lifetime Stanford Top 2% Madrid, Spain
04 — Research

Research with
real-world impact

Consistently ranked in the Stanford top 2% of scientists globally, with over 200 publications in ISI Web of Science, h-index 39 and 6,800+ citations from researchers in 20 countries.

Generative AI & LLMs
eXplainable AI (XAI)
Federated & Distributed Learning
Quantum Computing
Causal Machine Learning
NeuroSymbolic AI
Expert Systems with Applications · 2026
Model-agnostic post-hoc explainability for recommender systems
Arevalo & Salmeron
Future Generation Computer Systems · 2025
Concurrent Vertical & Horizontal Federated Learning with Fuzzy Cognitive Maps
Salmeron & Arevalo
Neurocomputing · 2025
Inverse simulation learning of Quasi-Nonlinear Fuzzy Cognitive Maps
Napoles, Salmeron & Salgueiro
IEEE Trans. Emerging Topics in Computing · 2024
Chaotic maps-based privacy-preserving distributed deep learning for Non-IID datasets
Arevalo & Salmeron
Journal of Big Data · 2024
Blind Federated Learning without initial model
Salmeron & Arevalo
Mathematics · 2023
Variational Quantum Circuit topology grid search for post-surgical hypocalcemia
Salmeron & Fernández-Palop
All publications on Google Scholar →
05 — Contact

Let's build
something

Whether you need a technical lead for a complex AI project, strategic advisory at executive level, a keynote speaker who bridges frontier research with business reality, or a partner for EU-funded R&D — I'd be happy to talk.

✉
Email
salmeron@acm.org
→
in
LinkedIn
linkedin.com/in/salmeron
→
How I can help your organisation
AI Strategy & Technology Roadmap
Generative AI Architecture & Governance
XAI Audits for Regulated Industries
Federated Learning System Design
Quantum Computing Readiness Assessment
Technical Due Diligence for AI Investments
EU & National R&D Project Leadership
Executive Training & Keynote Speaking