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1. bayesian-mcmc-cosmology bayesian-mcmc-cosmology Public

   From-scratch Metropolis–Hastings MCMC for Bayesian inference — fitting cosmic-chronometer H(z) data and testing ΛCDM vs dynamical dark energy with Gelman–Rubin diagnostics and AIC/BIC model selection.

   Jupyter Notebook 1

2. mexico_city_urban_network_analysis mexico_city_urban_network_analysis Public

   Multiplex network model of Mexico City's public transit system (Metro, Metrobús, Trolebús, RTP, and 6 more) from GTFS data, for studying cascading failure resilience and passenger flow.

   Python

3. roAp-oscilation-analysis roAp-oscilation-analysis Public

   Python framework for asteroseismic analysis of rapidly oscillating Ap (roAp) stars using TESS mission data.

   Jupyter Notebook

4. HHSA.jl HHSA.jl Public

   Pure Julia implementation of Holo-Hilbert Spectral Analysis (HHSA). Detects hidden multiplicative modulations and non-linear interactions in signals where Fourier analysis fails.

   Jupyter Notebook

5. computational--statistical-physics computational--statistical-physics Public

   Computational models of statistical physics and complex systems in Julia. Includes Monte Carlo simulations (Ising, XY), Vicsek flocking model, Kuramoto synchronization, and stochastic processes.

   Jupyter Notebook

6. cosmology-score-matching cosmology-score-matching Public

   Fisher Score Matching for ΛCDM cosmological parameter inference. Neural networks + CAMB + MCMC for Bayesian inference.

   Jupyter Notebook