Multimodal Models in Social Networks
Combining text, images, and network signals to understand online content and behavior.
Posts by Collection
portfolio
Applied Multimodal Models
Bringing multimodal AI to practical, domain-specific applications.
publications
Example: Multimodal Models for Social Network Analysis
Published in Journal / Conference name, 2025
Replace this with a one-line summary of the paper.
Recommended citation: Zuñiga-Morales, L. N. (2025). "Paper title." Venue. vol(issue), pages.
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talks
teaching
Artificial Intelligence
Undergraduate course, Universidad Iberoamericana Ciudad de México, InIAT, 2025
Current course. Short description of the course goes here: topics covered, level, and learning outcomes.
Machine Learning
Undergraduate course · B.S. in Actuarial Science (7th semester), Universidad Iberoamericana Ciudad de México, 2026
Course on the trends and paradigms of machine learning, covering the mathematical foundations and the development of different models for their implementation in data-science projects. Group A1 · Fall 2026 (17 weeks · 34 classes · 68 hours). Prerequisites: multivariable calculus, nonlinear optimization, linear algebra, probability, and structured programming (Python).