Andrés E. Rosso-Mateus, PhD
Andrés E. Rosso-Mateus is a Computer Scientist specializing in Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP). His work is related to Large Language Models (LLMs), AI-driven fintech innovations, Biomedical NLP, and blockchain-based financial systems. With over 15 years of experience, he has contributed to academic research, industry applications, and the development of scalable AI architectures.
He currently serves as Chief Technology Officer (CTO) at KEO, leading the design of AI-powered credit risk models, fraud detection systems, and financial automation solutions. In addition, he is a Board Director at the Institute for Certification of Computing Professionals (ICCP), where he contributes to the development of LLM certification frameworks and AI competency standards.
Research and Expertise
Dr. Rosso-Mateus’s research focuses on advancing AI methodologies, integrating LLMs into financial and healthcare applications, and developing secure, scalable digital infrastructures. His areas of expertise include:
- Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG)
- Biomedical NLP and AI-powered Healthcare Automation
- AI-Driven Fintech, Credit Risk Models, and Fraud Detection
- Blockchain-Based Transaction Systems and Digital Asset Tokenization
- Decentralized Finance (DeFi) and Smart Contract Automation
His research is at the intersection of theory and application, ensuring that AI models not only improve computational efficiency but also provide secure and explainable solutions in financial and healthcare domains.
Patents and AI Innovations
Dr. Rosso-Mateus has contributed to the development of patented AI-powered financial technologies that enhance credit risk assessment, fraud detection, and transaction security:
Settlement Card with Locked-In Merchant Restrictions (US 18/508,280)
A patented system designed to improve transaction security by restricting payments to pre-approved merchants, reducing fraud risks in digital payments.ML-Based Creditworthiness System (US 16/183,782)
A machine learning-driven approach for real-time credit risk assessment, enabling automated, data-driven lending decisions.
These innovations have played a crucial role in improving financial decision-making, risk evaluation, and lending ecosystem transparency.
Recent Projects
Biomedical Reader Tool: AI-Powered Scientific Paper Analyzer
An advanced platform designed to revolutionize how researchers and healthcare professionals engage with scientific literature. Key features include:
- Graph-based visualization of relationships among key entities in research papers.
- Interactive question-answering, summaries, and key concept definitions.
- Dynamic timelines for tracking research developments and breakthroughs.
AI-Driven News Enrichment Platforms: aipresses.com & leelibre.com
A cutting-edge platform that enhances news articles through AI-powered enrichment. The system rewrites articles while incorporating:
- Insights from diverse sources, relevant data, and multimedia elements.
- Visual timelines for evolving stories to present chronological perspectives on critical issues.
- Interactive user engagement through Q&A and curated contextual information.
AI and Blockchain in Financial Technology
Dr. Rosso-Mateus has contributed to blockchain adoption within financial systems, integrating AI and decentralized finance (DeFi) solutions to enhance financial security and transparency. His work includes:
- Supporting the development of self-custodial wallets for secure, peer-to-peer financial transactions.
- Contributing to the optimization of AI and Blockchain in decentralized financial ecosystems, improving smart contract security and real-time financial reconciliation.
His interdisciplinary approach ensures that emerging AI and blockchain technologies contribute to scalable, compliant, and robust financial solutions.
Academic and Professional Achievements
- AI Competition Recognition:
- Multiple top placements in BioASQ, an international AI competition in biomedical NLP and information retrieval.
- Leadership in AI Certification and Governance:
- Board Director at ICCP, defining LLM certification frameworks, AI governance models, and industry standards for AI professionals.
- Fintech and AI Leadership:
- CTO at KEO, responsible for developing AI-driven fintech solutions, integrating machine learning for fraud prevention and risk assessment.
- Academic Contributions:
- Published research in leading AI conferences and journals, focusing on Biomedical AI, NLP applications, and Blockchain-based financial models.
Publications and Research Contributions
Dr. Rosso-Mateus has published research in top-tier academic journals and conferences, covering topics in:
- LLMs and NLP for medical information retrieval
- AI-driven financial automation and fraud detection
- Blockchain and AI for secure, decentralized transactions
His work contributes to advancing explainable AI (XAI), improving regulatory frameworks for AI in fintech, and bridging AI research with enterprise applications.
Contact and Further Information
For more details about Dr. Rosso-Mateus’s work: