Daniel Gallardo Gomez
Data Scientist

Profile

Biography

Daniel is a predoctoral student in Health Sciences. He is a data scientist interested in evidence synthesis methodologies and their application to decision-making in the Public Health field. Carrying a lot of weight, his research interests are quality and transparency in systematic reviews, different types of complex cutting-edge meta-analytical models (e.g.,  Bayesian, network, dose-response, time-course,...) to determine optimal interventions to face clinically important health outcomes in specific populations. In addition, his research interests also focus on the development and implementation of these qualitative and quantitative methods using R programming