During her career, Ada has specialized in selecting and applying the proper analytical tools to account for the effects of taxonomic, geographic and temporal biases in the data or, in other words, fitting beautiful models to make the most out of “ugly” data from different sources in order to address applied conservation questions: How to find potential reintroduction areas? How to tackle illegal wildlife networks? How to identify areas with high habitat quality and low anthropological risk? Her vision is that conservation actions are based in the best and more updated scientific information, for which Ada promote evidence-based conservation action approaches.

Ada's analytical skills include high levels of proficiency in R programing language, particularly in predictive models for species distribution, occupancy models, analysis of diversity patterns, and multivariate and spatial statistics.