Stanford Doerr School of Sustainability
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Ph.D. Student in Energy Resources Engineering, admitted Autumn 2019
BioI consider myself a pragmatic, easy-going, and technical persona. I am always trying to be with good humor, which helps to reduce natural aging. My goal is to understand energy resources in order to use technical concepts when harvesting them for human development.
My academic background is in physics, with B.Sc., and M.Sc. degrees from Universidade Federal de Pernambuco - Brazil. Before I start my Ph.D. program, I have worked for 9 years in the petroleum industry at Petrobras. At that time, my job encompassed a variety of quantitative methods applied to geosciences, such as rock physics, seismic reservoir characterization, geomodeling applications, quantitative seismic interpretation, and geologic velocity model building.
As a geophysicist and researcher, my main objective is to combine concepts from several disciplines and data from different sources to extract valuable information about the Earth's subsurface. I am a firm believer that this sort of integration must be achieved by means of computational models along with geological expertise. Moreover, uncertainty quantification is required to fully characterize the output of any built model which mimics the subsurface. Therefore, I focus on evaluating interdisciplinary workflows that forecast rock properties in addition to its uncertainty quantification.
Ph.D. Student in Energy Resources Engineering, admitted Autumn 2017
BioPhD candidate in Energy Resources Engineering with over 10 years of experience in the Energy industry. Covered a variety of roles from field engineering to project management in consulting, service and operating companies. Worked on major oilfields in China, Iraq, Kuwait, Mexico, Colombia and interacted with top executives in corresponding National Oil Companies.
Postdoctoral Scholar, Energy Resources Engineering
BioMatteo Frigo has been a postdoctoral researcher in the Department of Energy Science and Engineering at Stanford University since August 2023.
He received his Bachelor's and Master's degrees in civil engineering from the University of Padua in 2014 and 2017, respectively.
In 2020, he received his Ph.D. degree from the University of Padua, with a major in Numerical Analysis.
During his Ph.D., he spent a period as a Visiting Researcher Student at Lawrence Livermore National Laboratory (LLNL), California, USA.
His leading scientific interests include mathematical and numerical modeling of multiphysics problems mainly related to poromechanics and fracture mechanics.
His research mainly focuses on studying numerical linear algebra problems and preconditioning techniques.
He has experience in implementing high-performance parallel codes on supercomputers with distributed memory and GPU accelerators.