Lavinia Mendes Araujo

Lavinia Mendes Araujo

Visiting Graduate Researcher
Federal University of Pernambuco


Lavinia Mendes Araujo is a Ph.D. Candidate in Industrial Engineering at the Universidade Federal de Pernambuco (UFPE), Brazil, where she also completed her M.Sc. She holds a Bachelor's degree in Industrial Engineering from the Universidade Federal da Paraíba, with a year in France at the École de Génie Industriel – Grenoble INP as part of an exchange program. She is a member of the Center for Risk Analysis, Reliability Engineering, and Environmental Modeling (CEERMA/UFPE) and is part of the human resources program of Brazil's National Agency for Petroleum, Natural Gas, and Biofuels. Currently, she is involved in a research project in collaboration with the R&D center of a company in the Brazilian oil and gas sector. Her Ph.D. research focuses on modeling and solving reliability engineering problems in the energy industry through quantum methods, emphasizing combinatorial optimization and machine learning. During the six months as a visiting graduate researcher at UCLA, she will work under the supervision of Professor Droguett, concentrating on quantum computing methods.