I'm a Scientist and Researcher dedicated to advancing the fields of computational physics and nuclear physics. My work centers on developing robust numerical methods and scientific software to explore complex physical phenomena.

My core expertise lies in numerical simulations, high-performance computing (HPC), and quantum mechanics. I'm particularly passionate about:

• Quantum Many-Body Physics: Investigating the behavior of systems with numerous interacting quantum particles.
• Time-Dependent Phenomena: Modeling how quantum systems evolve over time, especially when subjected to external fields.
• Scientific Software Development: Crafting efficient, maintainable, and reliable open-source tools to facilitate scientific discovery.
• Neural Quantum States (NQS): A key interest in applying neural networks to approximate quantum many-body wave functions, with a specific focus on advanced numerical optimization techniques to efficiently find these states.

My toolkit is primarily geared towards high-performance scientific computing and data analysis:

• Languages: Python Fortran
• Scientific Computing: NumPy SciPy Matplotlib Jupyter MPI OpenMP
• Neural Quantum States & ML: PyTorch JAX
• Version Control: Git GitHub

I'm always open to discussing new ideas, potential collaborations, or just connecting with fellow researchers.

• LinkedIn: Javi on LinkedIn
• Institutional Website/Page: Javi on ICCUB