Gabriel San Martín Silva

Gabriel San Martín Silva
PhD Student

Majoring in Civil and Environmental Engineering
M.S./B.S. University of Chile

Gabriel San Martín Silva is a Chilean Engineer, with a Bachelor and Master’s in Science degrees in Mechanical Engineering from the University of Chile. Currently, he is a PhD student at the University of California, Los Angeles (UCLA) under the supervision of PhD. Enrique López Droguett, at the Civil and Environmental Engineering Department.

San Martín’s undergraduate and graduate research was primarily focused on the application of Deep Learning models and Probabilistic Graphical Models to prognosis and health management (PHM) problems, such as the identification of failure modes in ball-bearings and sea water pumps or the prediction of remaining useful life in turbo-fan machinery.

His current research interests lie on the application of state-of-the-art Quantum Computing and probabilistic Deep Learning models to real-world problems, with the objective of improving the safety and resilience of engineering systems and communities alike. In particular, his current research is based on applying Quantum Computing to inference problems, in order to decrease the time required to perform scenario simulation tasks.