Super Resolution on cosmology
Published:
Computational physics and cosmology super resolution research project developed at UNAM, Social Service project Cosmología Observacional a través del Cómputo Científico 
Posts by Collection
portfolio
Scattnet-MR
Published:
Interpretable machine learning framework for accelerated MRI reconstruction based on wavelet scattering transforms. Currently under review at Computers in Biology and Medicine. 
Smart Docs
Published:
Intelligent document processing powered by LLMs and OCR — extract structured data from documents using modern AI pipelines. 
SRGAN in Astrophotography
Published:
Processing and Enhancement of Planetary Astrophotography Using Generative Adversarial Networks 
publications
Scattnet-MR: Interpretable Machine Learning for Accelerated MRI Reconstruction
Published in Computers in Biology and Medicine (under review), 2026
Interpretable MRI reconstruction using wavelet scattering transforms and neural implicit representations.
Recommended citation: Villalba, D. (2026). "Scattnet-MR: Interpretable Machine Learning for Accelerated MRI Reconstruction." Computers in Biology and Medicine. Under review.
Download Paper
resources
Research Internships & Academic Profile Resources
Published:
This page compiles the primary resources discussed in the seminar:
“Cosmología sin fronteras: ¿Cómo conseguir una estancia internacional de investigación y no morir en el intento?” (Seminario Estudiantil de Física – Facultad de Ciencias, UNAM).
talks
teaching
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.
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.