My Portfolio

Explore my projects at the intersection of mathematics and AI, where knowledge turns into impact.

About Me

I am a Ph.D. mathematician, educator, and programmer with international experience in teaching, data analysis, and AI-driven solutions. I specialize in turning complex ideas into clear, practical results through technology and education.

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Projects

I develop interactive and computational tools that connect mathematics with real-world applications. My work includes building dynamic GeoGebra environments for visualization, creating structured MATLAB teaching modules, and designing applied frameworks such as VARPMath for modeling and problem-solving. These projects focus on clarity, innovation, and practical impact in education and applied sciences

Data Analysis

I apply programming and statistical methods to analyze, model, and interpret complex data. Using tools such as Python, MATLAB, and statistical software, I work on numerical simulations, optimization, and applied modeling, including movement and gait analysis. My approach combines analytical rigor with computational efficiency to produce meaningful insights

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Mathematics

My foundation is in advanced mathematics, numerical analysis, and scientific computing. With a Ph.D. background and extensive teaching experience, I focus on numerical methods, approximation theory, and algorithmic modeling, bridging rigorous theory with computational application.

Selected Publications

Cacoq, J., de la Calle Ysern, B., López Lagomasino, G.
Direct and inverse results on row sequences of Hermite–Padé approximation.
Cacoq, J., López Lagomasino, G.
Convergence of row sequences of simultaneous Fourier–Padé approximation.
Cacoq, J., de la Calle Ysern, B., López Lagomasino, G.
Incomplete Padé approximation and convergence of row sequences.

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