José Daniel Conejeros is a sociologist and statistician from Chile, currently a BIO-Fulbright Scholar (2024) preparing for doctoral studies in the United States. He holds an MSc in Statistics (2023) and an MSc in Sociology (2021) from Pontificia Universidad Católica de Chile, where he also earned his BSc in Social Science with a minor in Public Policy. His academic path bridges social sciences, epidemiology, and advanced statistical modeling, with a strong emphasis on transparency and reproducibility in research.

José has authored and co-authored peer-reviewed articles in journals such as The Lancet Regional Health – Americas and Clinical Infectious Diseases, focusing on infectious diseases, antibiotic resistance, and climate-related health risks. José’s current work includes studies on tuberculosis dynamics, extreme temperatures and birth outcomes, and the burden of resistant bacteria in Chilean hospitals.

He has been invited to present his research at international conferences, including the Schizophrenia International Research Society in Florence, the Chilean Society of Infectious Diseases, and the School of Advanced Science on Epidemic Preparedness in Brazil. José also participated in the Summer Institutes in Computational Social Science (2025), reflecting his interdisciplinary training at the intersection of data science, public health, and social sciences.

José has formal training in data science and multiple workshops in Bayesian modeling, social network analysis, and machine learning. With a strong technical expertise in statistical programming (R, Python, STATA, SQL) and reproducible workflows (Quarto, GitHub, Markdown, LaTeX). Beyond that, he is committed to fostering open research practices in Latin America and has taught courses on programming, applied statistics, and environmental epidemiology.

José’s career goal is to strengthen the integration of open science and reproducible methods in social science and epidemiology in Chile and Latin America by combining advanced quantitative methods with a strong sense of public health relevance, he aims to contribute to more transparent, credible, and impactful research.

Open Science in a Nutshell: Tools, Theory, and Practice for Reproducible Research