About me

I am postdoctoral researcher at Unidad Académica del Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas (IIMAS) en el estado de Yucatán, Universidad Nacional Autónoma de México (UNAM). I finished my Ph. D. in Computer Science at IIMAS, UNAM and my research interests are in the field of data science and artificial intelligence in multimodal data analysis. I have worked on clinical machine learning and the explainability of predictive models.

During my Ph.D. I evaluated several machine learning models and an explainability approach for predicting hospital mortality. From these models, I distinguished risk markers in two subpopulations of patients with Acute coronary syndrome. I also proposed an architecture based on dilated causal convolutional neural networks for predicting multivariate time series to simulate the patient's clinical behavior.

Teaching

Projects

  • Participant in the project UNAM-PAPIIT IT101225

    Period: In progress

    IIMAS, UNAM

  • Participant in the project UNAM-PAPIIT IT101422

    Period: In progress

    IIMAS, UNAM

  • Participant in the project UNAM-PAPIIT IA100924

    Period: In progress

    IIMAS, UNAM

  • Participant in the project Registro Mexicano De Dislipidemia (REMEXDIS)

    Period: In progress

    Facultad de Medicina, UNAM

Recent publications

Supervised and co-supervised theses

Research stays

Contact

    If you are interested in data science, artificial intelligence, and multimodal data analysis, please contact me. Are welcome:
  • Bachelor's thesis
  • Master's or doctoral thesis
  • Professional internships or social service

    • Send an email to blancavazquez2013@gmail.com and enjoy the journey!