Juan Antonio Monleón Resume

CONTACT

EDUCATION

Double Master in Industrial Engineering and Nuclear Science and Technology

Polytechnic University of Madrid

2021-2023

Bachelor in Industrial Technology Engineering

Polytechnic University of Madrid

2017-2021

TECHNICAL SKILLS

Nuclear Codes: MCNP, Serpent, OpenMC, NJOY, ADVANTG

Programming: Python, Git, VS Code, Claude Code

Web / App Dev: React, TypeScript, Tauri, FastAPI

Documentation: LaTeX, Microsoft 365

LANGUAGES

Spanish Native language

English C2 Level

French B2 Level

AWARDS

Best Academic Report for Nuclear Master

Polytechnic University of Madrid (2022-2023)

Best Master Thesis Award

SCK CEN, Belgium (2023)

Best Poster Award

Journées des Thèses of IRSN (2024) - View Poster

COMMUNITY

JEFF Community

Active member — Joint Evaluated Fission and Fusion File (OECD/NEA)

SINBAD Community

Member — Shielding Integral Benchmark Archive & Database (OECD/NEA)

REFERENCES

Dr. Mariya Brovchenko

ASNR, France

mariya.brovchenko@asnr.fr

Dr. Dimitri Rochman

Nagra, Switzerland

dimitri.rochman@nagra.ch

Prof. Óscar Cabellos

Universidad Politécnica de Madrid, Spain

oscar.cabellos@upm.es

ABOUT ME

I am a passionate professional dedicated to the nuclear sector, driven by a strong interest in research and innovation. As a proactive person, I constantly seek out new learning opportunities to expand my knowledge and skills. I enjoy applying my programming expertise to solve complex problems and enhance both my daily work and personal projects.

RESEARCH EXPERIENCE

PhD in Neutronics

ASNR (formerly IRSN), France Nov 2023 - Present

Thesis: “Nuclear Data Uncertainty Quantification for PWR Pressure Vessel Shielding Calculations”

Sensitivity analysis and Monte Carlo sampling to propagate nuclear-data uncertainties; re-evaluated ⁵⁶Fe elastic angular distributions and covariances from EXFOR data
Applied variance-reduction techniques (ADVANTG weight windows) to improve efficiency in deep-penetration shielding calculations
Supervised a Master's student (Mar–Sep 2025) on nuclear-data uncertainty quantification in PWR source-term calculations

Research Internship

SCK CEN, Belgium Sep 2022 - Jun 2023

Completed Master's thesis titled "Reducing Spectrum-Driven Uncertainties with Variance Reduction Techniques"
Conducted neutronic and deep shielding analyses using MCNP and ADVANTG for the MYRRHA Project

Master Thesis Research

UPM, Spain Jun 2023 - Oct 2023

Developed "Enhancing the EXFOR nuclear data library with Machine Learning Techniques"
Implemented outlier detection methods for proton-induced reactions

Master Internship

ENUSA Advanced Industries, Spain Oct 2021 - Apr 2022

Designed and developed a Python program for the analysis and inspection of fuel assemblies and spent fuel

PUBLICATIONS

J. A. Monleon de la Lluvia, M. Brovchenko, D. Rochman, E. Dumonteil, “Towards Efficient Nuclear Data Uncertainty Quantification in Radiation Shielding Calculations”, Nuclear Science and Engineering, 2025. DOI: 10.1080/00295639.2025.2510048 · pre-print
2025

CONFERENCES & PRESENTATIONS

First author

“Nuclear Data Uncertainty Quantification for PWR Pressure Vessel Shielding Calculations” — RPSD 2026, South Korea (accepted)
Oct 2026
“KIKA: A Unified Desktop Application for Nuclear Data Processing, Sensitivity, and Uncertainty Quantification” — RPSD 2026, South Korea (accepted)
Oct 2026
“Evaluation of elastic angular distribution covariances for ⁵⁶Fe from EXFOR experimental data” — WONDER 2026, Aix-en-Provence (upcoming)
Jun 2026
“Impact of Elastic Scattering Angular Distribution Covariances on Fast Neutron Fluence; Application to ⁵⁶Fe” — PHYSOR 2026
Apr 2026
“Nuclear Data Uncertainty Quantification Using the VENUS-3 Benchmark Experiment” — ND 2025, Madrid
2025
“Sensitivity Analysis and Uncertainty Quantification in PWR Irradiation Ageing-like problems” — ANS Winter Conference RPSD, Orlando
Nov 2024

Co-authored

Co-author: “Sensitivity Coefficients of a Single Response Function in Fixed-Source Calculations Using SERPENT2 and MCNP6” — PHYSOR 2026
Apr 2026
Co-author: “Propagation of Angular Distribution Uncertainties in Vessel Fluence Calculations” — PHYSOR 2026
Apr 2026

SOFTWARE & TOOLS

KIKA — Nuclear-data Desktop Application

Lead developer 2025 - Present

Cross-platform desktop app (Windows / macOS / Linux) for nuclear-data visualization, sensitivity analysis, and uncertainty quantification
Tauri + React + TypeScript frontend with a FastAPI + Python backend; built on top of kika-nd, the open-source Python library (PyPI) providing the computational core (ENDF / ACE, covariances, EXFOR, MCNP interop)

TRAINING

OpenMC Course — NEA, Paris Dec 2025
Master in Management and Direction of SMEs | EFEM 2024-2025
NJOY Course - NEA, Paris Dec 2024
Sensitivity Analysis Summer School (SAMO) | UNIPR, Parma Jun 2024
Serpent Bootcamp | NEA, Paris Nov 2023
Course in "Nuclear Data for Energy and Non-Energy Applications" | GREAT PIONEER Dec 2022