Science

Academic portfolio and research overview.

Research Overview

My research focuses on neutrino astrophysics and computational modeling of extreme environments. I develop and use large-scale numerical simulations to study core-collapse supernovae, neutron star mergers, and neutrino flavor evolution. I am particularly interested in high-performance computing, scalable algorithms, and the connection between multi-messenger observations and theoretical models.

Research Interests

  • Neutrino astrophysics and flavor oscillations
  • Core-collapse supernovae and nucleosynthesis
  • Large-scale numerical simulations (HPC)
  • High-performance computing and scientific software

Selected Projects

Neutrino Transport in Supernova Cores

Spectral methods for solving the Boltzmann equation in 3D. Coupled to hydrodynamics and nuclear equation of state.

Neutrino transport
Spectral methods
MPI
Fortran/C++
Multi-messenger Signatures from Compact Binaries

Modeling electromagnetic and neutrino signals from neutron star mergers. Bayesian inference for parameter estimation.

GW
Neutrinos
Bayesian inference
Python
HPC Benchmarking and Scaling Studies

Weak and strong scaling of production codes on national clusters. Profiling and optimization for next-generation architectures.

HPC
Profiling
Scaling
GPU

Publications

Full list and DOIs available on request or via institutional page.

Talks and Outreach

I have given seminars and contributed talks at national and international meetings. I am involved in scientific outreach and mentoring, including leading student initiatives and organizing journal clubs and reading groups. I am committed to clear communication of technical work to both specialist and broader audiences.

For collaborations or inquiries: erick.urquilla@example.com