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Data Science Engineer and Researcher

Data Observatory

Santiago, Chile

My topics of interest include Computational Mathematics, Deep Learning, and High Performance computing.

Data Science Engineer and Associate Researcher Full Time

Fundación Data Observatory

Chile

2022 - A la fecha
Postdoctoral Fellow Full Time

UNIVERSIDAD ADOLFO IBANEZ

Chile

2021 - 2023


h-Analysis and data-parallel physics-informed neural networks Escapil-Inchauspe, Paul; Ruz, Gonzalo A. Article ISI SCOPUS SCIENTIFIC REPORTS (2023)
Hyper-parameter tuning of physics-informed neural networks: Application to Helmholtz problems Escapil-Inchauspe, Paul; Ruz, Gonzalo A. Article ISI SCOPUS NEUROCOMPUTING (2023)
Accelerated Calderon preconditioning for Maxwell transmission problems Kleanthous, Antigoni; Betcke, Timo; Hewett, David P.; Escapil-Inchauspe, Paul; Jerez-Hanckes, C.; Baran, Anthony J. Article ISI SCOPUS JOURNAL OF COMPUTATIONAL PHYSICS (2022)
Bi-parametric operator preconditioning Escapil-Inchauspe, Paul; Jerez-Hanckes, C. Article ISI SCOPUS COMPUTERS & MATHEMATICS WITH APPLICATIONS (2021)
HELMHOLTZ SCATTERING BY RANDOM DOMAINS: FIRST-ORDER SPARSE BOUNDARY ELEMENT APPROXIMATION Escapil-Inchauspe, Paul; Jerez-Hanckes, C. Article ISI SCOPUS SIAM JOURNAL ON SCIENTIFIC COMPUTING (2020)
Fast Calderon Preconditioning for the Electric Field Integral Equation Escapil-InchauspÃ© P.; Jerez-Hanckes C. Article ISI SCOPUS IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION (2019)


UNCERTAINTY QUANTIFICATION IN PHYSICS-INFORMED NEURAL NETWORKS WITH APPLICATIONS Paul Louis Escapil-Inchauspé Arnaud Proyecto (2023)
Cuantificación de incertidumbre y métodos avanzados de resolución por elementos de frontera de problemas de difracción de ondas electromagnéticas FONDECYT (1171491) Proyecto 2017-2020 Tesista

Data Science Engineer and Researcher

Data Observatory

Santiago, Chile

Dean, Full Professor

Faculty of Engineering and Sciences

Universidad Adolfo Ibánez

Santiago, Chile