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
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.