After KAUST Academy
As of October 2026, Sulaiman is a computer science student at King Abdulaziz University and Vice Manager of the 17th Engineering Day there.
Summer project
Artificial Intelligence Specialization · Cohort 2026
Toward SED Reconstruction of Type Ia Supernovae with Rubin Observatory Simulations
We developed an inference pipeline for Type Ia supernova light curves using realistic Rubin Observatory simulations within the Cosmographi framework. The project forward-simulates sparse, noisy, multi-band photometry; infers SALT2 parameters—stretch, colour, peak time, and redshift—using grid search and machine-learning methods; and uses Bayesian MCMC to constrain shared corrections to the underlying spectral energy distribution. This provides an initial step toward learning supernova spectral models directly from photometry and propagating calibrated uncertainty into future classification and cosmological analyses.
With KAUST Academy
- Cohort 2026
Artificial Intelligence Specialization
University of Toronto · Artificial Intelligence Summer Program
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