Senior Research Software Engineer

• Feb 2023 - Present

Research Software Engineer

• Jan 2021 - Jan 2023

Research Assistant

• Jan 2019 - Dec 2020

Title: A Platform to Conduct Probabilistic Seismic Hazard Analysis Incorporating Site EffectsI participated in this project as a research assistant under the supervision of Prof. Shahram Pezeshk. I designed a workflow and implemented a robust platform to conduct probabilistic seismic hazard analysis incorporating site effects.The project is written in Matlab with different kernels which are written in Fortran. For more details, please contact Prof. Shahram Pezeshk at the Department of Civil Engineering at the University of Memphis.

Teaching Assistant

• Sep 2019 - Dec 2019

Research Assistant

• May 2017 - Dec 2019

Award Title: Application of Machine Learning in Deterministic Ground Motion SimulationNumber: 17-239Agency: Southern California Earthquake Center (SCEC)This project investigated the potential use of machine learning methods in three-dimensional physics-based earthquake ground motion simulation as a means to optimize validation of simulation results, choice of modeling parameters, and prediction of ground motion characteristics. It applied machine learning techniques to: (a) simplify analysis of ground motion validation processes, by prioritizing goodness-of-fit metrics and selecting accurate predictors of validation results; (b) optimize the selection of attenuation parameters used to set quality factors in forward simulations (i.e., Qs-Vs relationships); and (c) explore the predictability of forward simulations in known three-dimensional domains without the need of running full-domain simulations.I participated in this project as a research assistant under the supervision of Prof. Ricardo Taborda (Principal Investigator). I led the preparation of the project proposal and was in charge of its execution. I was, for the most part, the principal investigator in this project and Prof. Taborda oversaw my work. I could not be listed as the Principal Investigator only due to University regulations prohibiting doctoral students from submitting proposals.

Research Assistant

• Sep 2015 - Aug 2019

Award Title: SI2-SSI: Community Software for Extreme-Scale Computing in Earthquake System ScienceNumber: ACI-1450451Agency: National Science Foundation (NSF)This project is devoted to developing advanced earthquake simulation software capable of using high-performance computing to produce new information about earthquakes and the hazards they present. The team led by the Southern California Earthquake Center (SCEC) serves diverse communities of earthquake scientists and engineers, computer scientists, and at-risk stakeholders, with the goal of increasing the outer-scale/inner-scale ratio of simulations at constant time-to-solution by two orders of magnitude above current capabilities. The software development plan uses an agile process of test-driven development, continuous software integration, automated acceptance test suites, frequent software releases, and attention to user feedback. The researchers subscribed to this project take advantage of the SCEC Implementation Interface to develop a dialog among user communities regarding the application of the framework to the reduction of seismic risk and enhancement of seismic resilience. This research addresses fundamental scientific problems that limit the accuracy and scale range in current numerical representations of earthquake processes, which will benefit earthquake system science worldwide.I participated in this project as a research assistant under the supervision of Prof. Ricardo Taborda (co-Principal Investigator for the project at the University of Memphis). I developed software for approximate estimation of nonlinear soil effects using equivalent linear ideas in three-dimensions. I also developed models to improve attenuation effects in earthquake simulation, and worked on verification and validation of regional ground motion models and simulations.

Research Assistant

• Feb 2016 - Jan 2017

Award Title: An Examination of the Correlations Between Different Goodness-of-Fit Metrics Based on a Large Dataset of Ground Motion Simulation ValidationsNumber: 16-067Agency: Southern California Earthquake Center (SCEC)This project investigated the relationships that exist between different goodness-of-fit (GOF) metrics currently used in the validation of ground motion simulations by conducting a statistical analysis on a large dataset of comparisons between synthetics and records from past earthquakes.I participated in this project as a research assistant under the supervision of Prof. Ricardo Taborda (Principal Investigator). I helped processing results from previous simulations and conducted semisupervised and supervised learning analysis to facilitate understanding the relationships between different GOF metrics.

Research Assistant

• Apr 2014 - Jun 2015

Award Title: Evaluation of the southern California seismic velocity models through ground motion simulation and validation of past earthquakes Number: G14AP00034 Agency: United States Geological Survey (USGS) Seismic velocity models are a key ingredient in physics-based ground motion simulation. Simulations, in general, help better understand seismic hazard and risk. Significant effort has been devoted over the last two decades to the development of various seismic velocity models for the region of southern California, United States. These models are mostly used in forward wave propagation simulation studies, but also as reference models in tomographic and source inversions. In this study, we evaluated the accuracy of these models when used to predict the ground motions in the greater Los Angeles region by means of the assessment (goodness-of-fit) of a collection of simulations for recent events and with respect to recorded data. The results of our study have helped modelers and simulators to cross-reference and further evaluate these seismic velocity models for future simulations. I participated in this project as a research assistant under the supervision of Prof. Ricardo Taborda (Principal Investigator for the project at the University of Memphis). I prepared the early draft of seismic data processing and validation package and contributed in ground motion simulation, processing data, and the final report and paper preparation.