I am a medical doctor (MD) working in epidemiology and biostatistics, focused on how data and AI can be used reliably and responsibly in health.

• 🌍 Burden of disease: estimating disease burden for Peru's Ministry of Health (GBD-style methods).

• 🤖 LLMs in health: building and evaluating an LLM assistant grounded in clinical practice guidelines, with attention to accuracy, hallucinations and safe use.

• 📊 Biostatistics: cohort analyses (CRONICAS cohort, inflammation and metabolic syndrome), survival models, survey data (ENDES/DHS).

• 🎓 MSc student in Statistical Science & Engineering (UNI); coursework completed in the MSc in Epidemiological Research (UPCH). RENACYT researcher.

• 🔭 Interested in AI safety and evaluation: making sure ML/LLM systems used in medicine are measurable, robust and aligned with patient benefit.

• 📄 See more here: CV

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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.

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.