CV

1. Sep 2026 – present · France

   MVA master’s, ENS Paris-Saclay

   Coursework: Optimal Transport for Machine Learning, Stochastic Calculus in Machine Learning, Convex Optimization and Applications in Machine Learning, Foundations of Distributed and Large-Scale Computing Optimization, Introduction to Statistical Learning, Geometric Data Analysis, Learning for Time Series, Deep Learning and Signal Processing.

2. 2020 – 2025 · Spain

   Dual BSc in Mathematics and Statistics, University of Extremadura

   Best academic record award.

   Coursework: Calculus, Mathematical Analysis, Complex Variables, Measure Theory, Functional Analysis, Topology; Linear Algebra, Algebra, Commutative Algebra, Geometry, Differential Geometry; Differential Equations (ordinary, partial and advanced), Numerical and Computational Methods I–II; Probability, Mathematical Statistics, Linear Models, Multivariate Statistics, Non-parametric Inference, Statistical Sampling, Econometrics, Simulation and Resampling, Time Series, Stochastic Processes (basic and advanced); Operations Research (basic and advanced); Computing and Databases.

Interests: optimal transport and its applications; stochastic processes and dynamical systems; mathematical and combinatorial optimization.

1. 2026 · Preprint, under review

   Exact branch-and-cut for terrain-aware orienteering

   A new orienteering variant with direction-dependent costs and cumulative fatigue, solved exactly on real terrain.

2. 2025 · BSc thesis

   Discrete Dynamical Systems in Low Dimensions

   How discrete dynamical systems arise from discretizing differential equations: stability of fixed points, including the non-hyperbolic case, perturbations of monotone systems and period-doubling bifurcations, and a proof of chaos for the logistic family via symbolic dynamics.

3. 2025 · BSc thesis

   Functional Data Analysis

   Statistics for data in which each observation is an entire curve rather than a single number, such as the yield curve of government bonds across maturities. Covers how to represent and smooth these curves, cluster them, and use them in regression, with applications to financial time series.

1. Feb 2025 – Aug 2026 · Luxembourg

   Business Intelligence Engineer, Amazon

   Statistical and ML models for throughput prediction and capacity planning, plus an end-to-end absenteeism forecasting system with automated retraining.

2. Jun – Jul 2023 · Spain

   Data Science Intern, Metanogenia

   Methane-yield prediction from heterogeneous reactor data.