Juan Lazo is a full-time professor at the Academic Department of Engineering at Universidad del Pacífico. He holds a Ph.D. in Electrical Engineering in the field of Methods for Decision Support and a Master’s degree in Electrical Engineering in the field of Computer Systems, both from Pontifícia Universidade Católica do Rio de Janeiro (Brazil). He is also an Electronic Engineer and holder of a Bachelor’s in Electrical Engineering from Universidad Nacional de San Agustín de Arequipa.
He is certified in Risk Management from the International Institute of Professional Education and Research (United States).
He has taught at undergraduate and postgraduate levels at Pontifícia Universidade Católica do Rio de Janeiro, at Centro Federal de Educação Tecnológica Celso Suckow da Fonseca - CEFET (Rio de Janeiro), and in the doctoral program in Computer Sciences from Universidad Nacional de San Agustín de Arequipa. He has experience as a researcher, coordinator, and leading research projects for scientific innovation and support solutions for strategic decision-making developed for Brazilian companies from the energy, oil, and gas sector.
He has been senior researcher at the Department of Electrical Engineering’s Applied Computational Intelligence Center of the Pontifícia Universidade Católica do Rio de Janeiro; and has led research projects for companies such as Petrobras, Light Electricity Services S.A., Light ESCO S.A. (Sector Finance and Marketing), ONS National Electrical System Operator – Brazil, AES Eletropaulo, CNPq - National Council for Scientific and Technological Development, among others.
Currently, he is member of the Society of Petroleum Engineers SPE and the Brazilian Society for Computational Intelligence. He is also reviewer of newspapers, journals, and international scientific conferences; and reviewer of projects for Uruguay’s National Agency for Research and Innovation - ANII.
Generation, transmission, distribution and sale of electricity; energy efficiency, project evaluation, econometrics, finance, risk analysis, uncertainty analysis, exploration, prospecting and production of oil and gas, statistical modeling, computational intelligence and applications.