profile sourced from GitHub
Scouting report
Computational physicist coding quantum lattice simulations
assessed from open-source footprint
Emanuel writes real scientific computing: BoseHubbardExactDiagonalization (9★) builds 1-3D Bose-Hubbard Hamiltonians for ground-state energy, with companion Julia work, backed by Python, C++, Julia and TeX. This is research code, not product engineering — recent activity is light (5 commits, 5 merged PRs), polish is low, and 78% of repos are dormant. A strong fit for data/ML or scientific-computing roles where numerical and domain depth matter more than shipping cadence.
Authorship & open source
What they build
Industry experience
- Climate & Sustainability
Signal breakdown
18
top repo 9
18
10% forks
21
9.1 yr
0
Active
78% stale
Strengths
- Verified author — wrote 100% of commits on BoseHubbardExactDiagonalization
- Original builder — 18 of their own repositories
- Data / ML focus with Backend
- Domain experience in Climate & Sustainability
- Core stack: Python, Jupyter, TeX, C++
About
Skills
- Python
- Jupyter
- C++
- Julia
- TeX
Featured work
BoseHubbardExactDiagonalization
Build 1,2,3D Bose-Hubbard Hamiltonian Matrix and obtain ground state energy via Exact Diagonalization
- Python
by Emanuel Casiano Díaz
BH Diagonalize Hypercube
Calculate ground state energy of hypercubic Bose Hubbard lattice in 1,2,3 dimensions
- Julia
by Emanuel Casiano Díaz
LanczosEigensolvers
Implementations of Lanczos Algorithm to find Eigenpairs of Hermitian Matrices
- Python
by Emanuel Casiano Díaz
Lanczos
The Lanczos Exact Diagonalization Software for Quantum Applications
- Python
by Emanuel Casiano Díaz
WangLandau
Wang-Landau Sampling for the 2D Ising Model
- Python
by Emanuel Casiano Díaz
AdjacencyMatrix
Build adjacenct matrix for hypercubic lattices
- Python
by Emanuel Casiano Díaz