CV
Work experience
University of Zaragoza, Zaragoza, Spain
- May 2024-Present: Ph.D. Researcher
- Research on Algorithmically Generated Domains (AGD) detection using LLMs.
- Designed and benchmarked deep learning architectures for AGD detection.
- Research on the application of assisted LLMs to Reverse Engineering.
- Oct 2025-May 2026: Lecturer
- Teaching practical sessions for undergraduate engineering courses.
JnT Studios, Spain
- Dec 2025-Present: Co-Founder
- Lead both the planning and hands-on implementation of AI product.
- Contribute developing core software features and infrastructure.
Ruhr University Bochum, Bochum, Germany
- April 2025-Jan 2026: Visiting Researcher (Remote collaboration since Aug 2025)
- Research on novel applications of LLMs for binary decompilation via intermediate representations.
Teltronic, Zaragoza, Spain
- May 2023-May 2024: Cybersecurity Engineer
- Led cybersecurity strategy and compliance for LTE (4G) product line.
- Implemented risk mitigation policies aligned with industry standards.
- October 2022-April 2023: Cybersecurity Intern
- Conducted vulnerability assessments and risk analysis for telecommunications systems.
Education
- Ph.D. in Computer Science, University of Zaragoza, 2024-Present
- Research focus: AI applications in cybersecurity
- Master of Business Administration (MBA), International University of La Rioja, 2026-Present
- Expected graduation: 2027
- M.S. in Research in Cybersecurity, University of León, 2023
- Thesis: Detection of Algorithmically Generated Domains (AGDs)
- B.S. in Computer Science, University of Zaragoza, 2022
- Graduated with honors in Artificial Intelligence
Certifications, Courses & Other Official Studies
- University Expert in Cyber Incident Management and Response – University of Zaragoza (2025)
- Containment and Forensics Expert after a Cyber Incident – INCIBE & EICYC (2023)
- B2 Cambridge English: First (FCE) – Cambridge University (2023)
- Elementary and Professional Music Studies – Conservatorio Profesional de Música de Zaragoza (CPMZ) (2011-2022)
Awards, Grants & Honors
- Pre-doctoral Research Fellowship, Regional Government of Aragón (2025)
- I3A Bridge Research Grant (2025)
Talks & Conferences
- Exploring the Zero-Shot Potential of Large Language Models for Detecting Algorithmically Generated Domains. Advanced Methods for Evidence-based Cybersecurity Research (EMACS) Starting Workshop. Jaca, Aragón, España, 2026.
- Does Representation Matter? Evaluating IRs for LLM-based Binary Decompilation. 9th Workshop on Binary Analysis Research (BAR), co-located with NDSS. San Diego, CA, USA, 2026.
- A review of “The Machines are Watching: Exploring the Potential of Large Language Models for Detecting Algorithmically Generated Domains”. XI Jornadas Nacionales de Investigación en Ciberseguridad (JNIC). Barcelona, Cataluña, España, 2026.
Publications
- Pelayo-Benedet, T., Borgolte, K., & Rodríguez, R. J. (Under Review). Binary Whisperers Learn New Dialects: Hierarchical IRs for LLM-Based Decompilation. Submitted to Top-Tier Security Conference (Venue anonymized for blind review).
- Pelayo-Benedet, T., & Rodríguez, R. J. (2026). A Systematic Literature Review of Adversarial Domain Generation and Defense. Machine Learning with Applications, 24, 100888. 10.1016/j.mlwa.2026.100888
- Pelayo-Benedet, T., Borgolte, K., & Rodríguez, R. J. (2026). Does Representation Matter? Evaluating IRs for LLM-based Binary Decompilation. In Proceedings of the 9th Workshop on Binary Analysis Research (BAR). San Diego, CA, USA: Internet Society (ISOC). 10.14722/bar.2026.23077
- Pelayo-Benedet, T., Rodríguez, R. J., & Gañán, C. H. (2025). The machines are watching: Exploring the potential of Large Language Models for detecting Algorithmically Generated Domains. Journal of Information Security and Applications, 93, 104176. 10.1016/j.jisa.2025.104176
- Pelayo-Benedet, T., Rodríguez, R. J., & Gañán, C. H. (2025). Poster: Exploring the Zero-Shot Potential of Large Language Models for Detecting Algorithmically Generated Domains. In International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment (pp. 86-92). Cham: Springer Nature Switzerland. 10.1007/978-3-031-97623-0_5
- Pelayo-Benedet, T., Rodríguez, R. J., & Gañán, C. H. (2025). RAMPAGE: A Software Framework To Ensure Reproducibility in Algorithmically Generated Domains Detection. Expert Systems with Applications, 128629. 10.1016/j.eswa.2025.128629
- Pelayo, T., Arronategui, U., Bañares, J. Á., & Colom, J. M. (2022). Design and Implementation of a Compiler for Simulation of Large-Scale Models. In International Conference on the Economics of Grids, Clouds, Systems, and Services (pp. 158-162). Cham: Springer Nature Switzerland. 10.1007/978-3-031-29315-3_16
Skills
- Programming
- Python, C/C++, Java, Rust, Go, JavaScript, SQL, R, Bash, Assembly
- Machine Learning
- Deep Learning, NLP, Large Language Models, TensorFlow, PyTorch
- Cybersecurity
- Vulnerability Assessment, Risk Analysis, Incident Response, Malware Detection
- Tools & Technologies
- Git, Docker, Linux, LaTeX, Wireshark, Nmap, Burp Suite, SIEM platforms, Binary Ninja
- Cloud & Infrastructure
- AWS, Kubernetes, Jenkins
- Languages
- Spanish (Native)
- English (B2+)