Julián Equihua

Julian Alberto Equihua Benitez is a Doctoral Candidate in Computational Landscape Ecology at UFZ, developing computational tools for landscape ecology problems.

Research applies reinforcement learning algorithms to optimize landscape management decisions. Focuses on bridging machine learning approaches with ecological conservation challenges.

Prior experience includes data science at Mexico's biodiversity commission (CONABIO). Combines expertise in geomatics, applied statistics, and environmental modeling.