CV
Summary
I have experience on theoretical physics, firstly in topics related with Black Holes and General Relativity. Moreover, I use some programming languages, like C++, Python and Fortran, for simulation and numerical solvers on computing physics. Currently, I'm in the join program, between ICTP and SISSA, Master in High Performance Computing in Trieste, with a full scholarship and working on a project in collaboration whit the Center for Computational Relativity and Gravitation at Rochester Institute of Technology (RIT). Where, I'm using all what I learned to develop a Numerical Relativity software product.
I'm a graduated Bachelor science Physicist and I started a Bachelor Engineering degree on Software Engineering on holding, both from Universidad Nacional de Colombia. Then, I have Software development skills and experience, mainly as a backend developer and thanks to MHPC also in scientific and high performance computing. I have very huge interest on Theoretical Physics, Cosmology, Black Holes, Quantum Gravity. In addition, Computational Physics, Numerical Relativity and High Performance Computing for expensive simulations and process. My long-term goal is to contribute to theoretical and computational advancements in general relativity and black hole physics.
Education History
| Description | Date |
|---|---|
| Master in High Performance Computing (Scholarship) The Abdus Salam International Centre for Theoretical Physics (ICTP) & Scuola Internazionale Superiore di Studi Avanzati (SISSA) Project: GInX: A Geodesics Integrator tool for particles in GRMHD using Adaptive Mesh Refinement | September 2024 - Present |
| Bachelor Engineering in Systems and Computing Universidad Nacional de Colombia | January 2023 - Pending |
| Bachelor Science in Physics Universidad Nacional de Colombia Approved with a score of 43 out of 50 Project: Rotating black hole in dRGT massive gravity | January 2018 - December 2022 |
Additional education
| Description | Date |
|---|---|
| Guauge/Gravity Duality The Abdus Salam International Centre for Theoretical Physics - Physics without Frontiers Physics Latam Approved with a score of 8 out of 10 | March 2024 - July 2024 |
| Quantum Field Theory I The Abdus Salam International Centre for Theoretical Physics - Physics without Frontiers Physics Latam Approved with a score of 10 out of 10 | September 2023 - February 2024 |
| Classical & Quantum Black Holes Course The Abdus Salam International Centre for Theoretical Physics - Physics without Frontiers Physics Latam Approved with a score of 10 out of 10 | October 2023 - November 2023 |
| General Relativity and Cosmology Course The Abdus Salam International Centre for Theoretical Physics - Physics without Frontiers Physics Latam Approved with a score of 10 out of 10 | June 2023 - September 2023 |
Projects and other activities
C++, High Performance computing, Parallel computing, General Relativity, Numerical Relativity.
General Relativity, Black holes, Python, JavaScript, Visual computing.
General Relativity, Black Holes, Massive Gravity, Theoretical physics, Python.
Quantum Computing, Quiskit, Python, hackathon.
JavaScript, Simulation, Statistical mechanics.
Skills
Programming
Python
Mainly used for quantum computing, using quiskit, machine learning and data analysis programs.
- Numpy, Scipy, Matplotlib, Sympy.
- Keras, TensorFlow.
- Pandas.
- cupy, mpi4py, numba, cython.
C++
Mainly used for scientific computing, high performance programs and profiling.
- Blas, CuBlas, Petsc, DealII.
- OpenMP, Cuda, OpenAcc, MPI.
C
Mainly used for scientific computing, high performance programs and profiling.
- Blas, CuBlas, Petsc, DealII.
- OpenMP, Cuda, OpenAcc, MPI.
Numerical relativity
Used for General Relativity Magneto Hydrodinamics simulations.
- AMReX, Einstein Toolkit, Cactus
- 3+1 General Relativity, numerical methods
Linux OS
I use Linux OS for working and High performance computing.
- Arch and Ubuntu linux distros.
- Bash scripting, vim.
HPC
High Performance Computing is useful for run heavy programs.
- Clustering, slurm, algorithms, data structures.
- Scientific computing, one and multiple core optimization.
AI
Mainly used for classification, generative and regression tasks with python.
- Deep learning (Classifiers, LLMs, transformers and autoencoders)
- Machine learning (Classifiers and Regression)
- Reinforcement learning
Languages
| Language | Level |
|---|---|
|
Spanish
Maternal Language |
Native |
| English Certified by IELTS Academic | C1 |
| French Non certified | A1 |