CV
📄 A PDF version of my CV is available here.
Data Scientist specialized in the multimodal analysis of text and image data, with extensive experience designing and deploying advanced AI solutions. Ph.D.-level professor and researcher with deep expertise in Machine Learning, Deep Learning, Generative AI, few-shot learning, Large Language Models, and AI agents, and a strong background supporting social-science research with quantitative and computational methodologies.
Education
- Ph.D. in Engineering Sciences, Universidad Iberoamericana Ciudad de México, 2021–2025 (Honorable Mention)
- Dissertation on the impact of multimodal information for predicting the sentiment polarity of tweets (COVID-19 and sport events in Mexico), using large language models to represent text and image data, fusion rules, and a Support Vector Machine for the final prediction.
- M.S. in Computer Science, Instituto Politécnico Nacional, 2015–2017
- Research on predicting stock-price movement direction from financial tweets about companies listed on the Mexican Stock Exchange.
- B.S. in Mathematical Engineering, Instituto Politécnico Nacional, 2010–2014
Experience
- Full-Time Professor / Researcher, InIAT — Universidad Iberoamericana Ciudad de México (2026–present)
- Research in artificial intelligence and multimodal models; management of research grants.
- AI and Contact Center Specialist, Helio CIT (2025)
- Implemented AI solutions to automate speech and text processes in Spanish on Huawei’s AICC service; agent development for public-tender automation; automated BPMN file generation; AI-enhanced custom CRM; and design of a school computer lab, network, and AI program.
- AI Solutions Lead, MAYiA (2025)
- Led implementation of AI solutions to automate data-intensive business processes on-premise and in the cloud; client-facing solutions representative; developed the MAYiA Academy curriculum (Machine Learning, Deep Learning, Generative AI, Python, AI for business).
- Teaching Assistant, DGTIC — Universidad Nacional Autónoma de México (2025)
- NVIDIA Deep Learning Institute workshop Fundamentals of Accelerated Computing with CUDA Python; taught the first module alongside an NVIDIA ambassador.
- Adjunct Professor (Part-Time), Universidad Iberoamericana Ciudad de México (2022–2026)
- Courses: Data Science for International Relations; Selected Topics on Information Systems; Data Intelligence; Machine Learning; Technologic Trends; Algorithms and Programming Workshop.
- Data Scientist, Allerstand (2017–2021)
- Data lead for internal information pipelines (gathering, processing, storage, transformation, visualization); built OCR/text-parsing tools to extract data from PDFs, receipts, and emails; custom CRM implementation and data analysis.
Publications
Zúñiga-Morales, L. N., González-Ordiano, J. Á., Quiroz-Ibarra, J. E., & Simske, S. J. (2026). "On the impact of image and text data on multimodal sentiment analysis in Spanish." Multimedia Tools and Applications, 85(4), 281.
Bustio-Martínez, L., et al. (2026). "Enhanced phishing detection using multimodal data." Knowledge-Based Systems, 334, 115105.
Portillo Sánchez, M., González Ordiano, J. Á., Quiroz Ibarra, J. E., & Zúñiga Morales, L. N. (2025). "Análisis de emociones en torno a las comunidades de activistas en el contexto de las movilizaciones del #8M2023 en México." Revista Iberoamericana de Comunicación, 3(45), 11–34.
Bustio-Martínez, L., et al. (2024). "Towards Automatic Principles of Persuasion Detection Using a Machine Learning Approach." In Progress in Artificial Intelligence and Pattern Recognition (pp. 155–166). Cham: Springer Nature Switzerland.
Bustio-Martínez, L., et al. (2024). "Uncovering phishing attacks using principles of persuasion analysis." Journal of Network and Computer Applications, 103964.
Zúñiga-Morales, L. N., González-Ordiano, J. Á., Quiroz-Ibarra, J. E., & Villanueva Rivas, C. (2024). "Machine learning framework for country image analysis." Journal of Computational Social Science, 7(1), 523–547.
Zúñiga-Morales, L. N., González-Ordiano, J. Á., Quiroz-Ibarra, J. E., & Simske, S. J. (2022). "Impact Evaluation of Multimodal Information on Sentiment Analysis." In Advances in Computational Intelligence (pp. 18–29). Cham: Springer Nature Switzerland.
Zúñiga-Morales, L. N., Zúñiga-López, A., Villegas-Cortez, J., Avilés-Cruz, C., & Morales-Torres, F. (2021). "Análisis preliminar del sentimiento sobre la vacunación del COVID-19 en México." Research in Computing Science, 150(5), 281–294.
Teaching
Grants and Fellowships
- Principal Investigator (PI) — Análisis de texto e imágenes en redes sociales en español, Convocatoria Extraordinaria 2026 for AI research projects, Dirección de Investigación y Posgrado, Universidad Iberoamericana Ciudad de México. Amount: $60,000 MXN. Period: 2026–2027.
Awards and Invited Workshops
- Department Prize for Outstanding Teaching Performance, Universidad Iberoamericana.
- Invited talk: Artificial Intelligence for International Relations with an automated classification model — 40th anniversary of the International Relations program and 25th anniversary of the DEI, Universidad Iberoamericana.
- Invited workshop: Data collection and classification for the Country Image Analytical Model — “Construyendo el futuro de la inteligencia artificial”, Universidad Iberoamericana.
Certifications
- ITIL Foundation Certificate in IT Service Management — PeopleCert (2025)
- Fundamentals of Accelerated Computing with CUDA Python — NVIDIA Deep Learning Institute (2025)
- Fundamentals of MCP — Hugging Face (2025)
- How to Create Video for Online Courses — University of Edinburgh / Coursera (2025)
- Introducción a los Derechos Humanos — Amnesty International (2025)
- SQL for Data Science — UC Davis / Coursera (2023)
- Design Database MySQL — IT Open Knowledge Center (2015)
- Fundamentals of Web Design — IT Open Knowledge Center (2015)
Skills
- Programming: Python
- Machine / Deep Learning: Scikit-learn, TensorFlow, PyTorch, MLflow, Hugging Face
- Data & visualization: Tableau, Gephi, Power BI, MySQL
- APIs: Twitter/X, Reddit, The New York Times, The Guardian, YouTube, World News
- Languages: Spanish (native), English, French
