I measure how algorithmic systems and environmental exposure reshape human wellbeing, and I write the software that makes those measurements hold up.
Economist and research assistant at the University of Guadalajara. Two published studies spanning environmental health economics and the psychology of algorithmic platforms, and a third on machine learning for outcome prediction currently in press.
Two threads that turn out to be one question: what happens to people when a system, an atmosphere, a recommendation algorithm, exerts pressure nobody chose and few can measure.
Ma Teresa Prieto Quezada · Jesús Osvaldo Estrada Maldonado · José Claudio Carrillo Navarro · Leonardo Javier León Aguilar
Introduces algorithmically mediated violence (aggression that platforms do not merely carry but actively produce, amplify and modulate) and documents its psychological correlates among young people in Guadalajara. Proposes a five-level ecosystemic intervention framework in place of individualised, pharmacological or techno-phobic responses.
Facebook70.2%
Instagram62.6%
TikTok61.7%
Platform use among surveyed youth. Facebook's persistence contradicts global narratives of its youth obsolescence, evidence of locally specific cultural dynamics.
Six years of particulate exposure in southern Poland set against health and labour outcomes. The headline result is a reframing: the dominant economic cost of air pollution is not respiratory mortality but the quiet, cumulative loss of cognitive productivity, a channel most air quality policy does not price at all.
Respiratory deaths+23%
Hospitalisations+26%
Cognitive-loss share96%
Health outcomes in 2018 against 2013, and the share of total economic cost attributable to cognitive productivity loss rather than direct health expenditure.