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llabans/README.md

Hi 👋, I'm Luis Labán Seminario (@llabans)

MD. Epidemiology & Biostats | Bridging ML/AI & Cloud in Health


💻 Langs

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📈 Github stats

llabans's GitHub stats


⚕️ About me

I am a medical doctor with experience in epidemiology and biostatistics, focusing on the intersection of healthcare, machine learning, and cloud technologies (MLops). I use data to accurately estimate outcomes and bridge the gap between clinical knowledge and advanced analytics. I am currently working on applying ML/AI models to epidemiological data.

  • 📄 See more here: CV

🛠️ Tools

python r pandas scikit_learn gcp linux


🌟 Featured projects

Undergraduate thesis — Built entirely from scratch.

A comprehensive epidemiological project built in R focused on analyzing stroke with data of Peru Ministery of Health. The repository include the complete analytical pipeline: data cleaning, transformation, EDA, trends analysis, survival analysis, and statistical models, providing critical insights into stroke CRF and mortality.📄 Published: Labán-Seminario LM, Carrillo-Larco RM, Bernabé-Ortiz A. PeerJ. 2022;10:e14467.

📊 Contributions to Open Source (ENDES.PE)

Pull Request Contributor

Contributed to the ENDES.PE R package, a vital tool for extracting demographic and family health survey data in Peru. My contribution updated functionality to support data extraction for 2020–2022.

An experimental R package currently under development through collaboration between statisticians and epidemiologists. This package will be the Peruvian version of the Demographic and Health Surveys (DHS) Program.

A project focused on measuring and analyzing health inequalities and disparities.


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  1. ENDES.metodos ENDES.metodos Public

    R

  2. ENDES.PE ENDES.PE Public

    Forked from avallecam/ENDES.PE

    Paquete de R para descargar las bases de datos de la encuesta ENDES de Perú

    R

  3. stroke stroke Public

    Stroke Peru

    R

  4. morbidity_ranking morbidity_ranking Public

    A brief summary of ranking of diseases using data from Health Information Systems (HIS) as a gateway to understand morbidity trends over the years.

    R

  5. maps_histm maps_histm Public

    Using data on mental disorders to generate maps showing the concentration of medical care (measured by physician consultations) at the national level.

    R

  6. python_final_project python_final_project Public

    Statistics dashboard with Quarto

    HTML