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I'm a physics and computer science student with a focus on computational astrophysics and cosmology. My research involves applying advanced computational methods and simulations to study galaxy dynamics and large-scale cosmic structures.
I am interested in exploring new computational methods, especially graph theory and the application of graph algorithms in astrophysics to uncover complex relationships and structures within cosmic data.
- Advisors: Victor Forouhar-Moreno, PhD., Rob McGibbon, PhD.
Leverage N-body simulations sampling diverse parameters, using metrics like graph-based subhalo finders and angular momentum, along with Gaussian Processes, to explore the performance of previous models, assess the role of numerical resolution, and determine whether emulation-based models surpass traditional approaches in predicting timescales.
- Advisors: Advisors: Frank G. Schroeder, PhD., Paras Koundal, PhD.
Developed a data-driven method to estimate the orientation of radio antennas at the surface array of the IceCube Neutrino Observatory by modeling galactic background noise. Analyzed variations in noise due to the rotation of Earth and the position of the galactic plane, improving calibration and enhancing array sensitivity to cosmic-ray air showers.
- Advisor: Jaime E. Forero-Romero, PhD.
Developed a model to estimate stellar masses of galaxies using Graph Neural Networks (GNNs) applied to observational data from the DESI Early Data Release. This research focused on harnessing redshift and photometric measurements to make accurate predictions by analyzing the spatial distribution and connection among galaxies through graph representation.
Summer 2024
Leiden University, European Space Agency (ESA)
Leiden, Netherlands
Project: Estimating halo merging timescales through emulation-based models
- Advisors: Victor Forouhar-Moreno, PhD., Rob McGibbon, PhD.
Fall 2024
University of Delaware
Delaware, United States
Project: Radio background noise analysis in cosmic-ray air showers
- Advisors: Frank G. Schroeder, PhD., Paras Koundal, PhD.
- SinfonIA, Robotics Research Group
Universidad de los Andes
- Department of Biomedical Engineering
Universidad de los Andes
- Department of Electrical and Electronic Engineering
Universidad de los Andes