Leonardo Manríquez is an economist specializing in the integration of traditional and non-traditional econometric methods, with an applied focus on natural resources and the environment. His career has been highlighted by his ability to develop advanced data analysis models and apply these tools to complex problems in diverse areas of economics.
He graduated with honors in 2023, first in his class, with a Master's degree in Natural Resource and Environmental Economics from the University of Concepción, Chile. His thesis focused on the modeling of discrete and continuous multiple choices, using additively separable and non-additively separable functional forms. This work allowed him to excel in academia and consolidate his interest in the integration of econometric methods in economic and environmental contexts.
Prior to his master's degree, he earned his Bachelor of Science in Business Administration from the Catholic University of the Most Holy Conception in 2019, where he also graduated with honors. Throughout his studies, he has been recognized with various awards, such as the Academic Excellence Award for several consecutive years, as well as scholarships that have supported his academic development.
In the academic field, he has been a part-time professor at various universities in Chile. At the Catholic University of the Most Holy Conception, he has taught courses in econometrics, microeconomics, and natural resource economics at the undergraduate and graduate levels since 2021. He has also been a professor at other institutions such as San Sebastián University and Andrés Bello University.
In parallel to his academic career, he has been involved in multiple research projects. He has worked as a research assistant on several studies related to natural resource economics, regional competitiveness, and the economic valuation of environmental phenomena. Among the most relevant projects in which he has participated are those funded by FONDECYT, FIC-R, and FONDAP, which have allowed him to integrate his econometric modeling skills to address social and economic challenges in Chile.
In industry, he has gained valuable experience as an Applied Scientist & Modeler. Since 2021, he has developed machine learning solutions applied to the mining industry, specifically in water resource management and earthwork analysis. He has also used advanced artificial intelligence metrics to analyze microbiological patterns and develop technological solutions in the healthcare sector. He also has experience in consulting, participating in international projects such as the European Union-funded WHY project, where he worked on energy demand analysis in the residential sector.
Finally, throughout his career, he has received several recognitions, including the Best Graduate Engineer Award from the Chilean College of Engineers, as well as various scholarships and academic distinctions. He has participated in conferences and seminars, having presented papers on forest fire classification, composite economic indicators, and choice modeling in complex contexts, among other topics, at forums such as NENRE EfD-Chile.
Licenciado en Ciencias de la Administración de Empresas (Universidad Católica de la Santísima Concepción)
Licenciado en Ciencias de la Administración de Empresas (Universidad Católica de la Santísima Concepción)