Summary
Irina Lerner is an Energy Modelling Analyst with eight years of experience blending computational modelling, ecology, and molecular sciences to inform decision-making in complex systems. Trained at the University of São Paulo (BSc in Molecular Sciences; Master's in Ecology, Evolution, Systematics, and Population Biology), she moved from computational evolutionary models to applied research on how voting systems affect conservation outcomes in international fisheries. A former FAPESP and current CNPq scholar, she has translated academic research into educational content as an instructor for Alura.Tech and now applies those analytical skills at Aurora Energy Research. Her work uniquely bridges quantitative modelling, policy-relevant conservation studies, and energy system analysis, making her adept at turning interdisciplinary data into actionable insights. Based in São Paulo, she combines rigorous academic training with practical communication experience to influence both technical and stakeholder audiences.
8 years of coding experience
University of São Paulo