Diego Villalba

Diego Villalba

Physicist and machine learning researcher bridging academia and industry, focused on data-driven modeling, scientific computing, large-scale cosmological simulations.

Teaching

Almacenes y Minería de Datos (2026-2) — FC-UNAM

Undergraduate course, Facultad de Ciencias, Universidad Nacional Autónoma de México (UNAM), 2026

Undergraduate course focused on the design and implementation of modern analytical data systems, integrating dimensional modeling (Kimball), ETL/ELT processes, data quality, and core concepts of data mining. The course emphasizes a unified view of the data lifecycle, from data ingestion and transformation to analysis and modeling, through reproducible examples in Python and materials developed with Quarto.

Propedeutic Courses Science Faculty

Workshop, Universidad Nacional Autónoma de México, Facultad de Ciencias, 2015

As part of the Propedutic Courses at the Faculty of Sciences, I had the opportunity to teach Analytical Geometry, a fundamental subject aimed at helping incoming students bridge the gap between high school and university-level mathematics. These preparatory courses were designed to provide students with a solid foundation in key mathematical concepts, ensuring they could confidently tackle the rigorous coursework of their first semester.