JEGJonas El Gammal
Research

Physics problems,
computational answers.

My work connects cosmology and gravitational-wave astronomy with statistical computation, scientific machine learning, and carefully validated software.

01
Surrogate inference for expensive likelihoods

Scientific ML & Bayesian inference

Surrogate posterior methods for expensive likelihoods, including GPry and its applications to cosmology and LISA.

GPry animation
02
LISA cosmology and primordial spectra

Early-universe gravitational waves

Using LISA to reconstruct primordial curvature perturbations and connect stochastic backgrounds to early-universe dynamics.

Detector sensitivity
03
Non-Gaussian statistics and fast PTA inference

Pulsar Timing Arrays

What correlated nanohertz data can reveal about gravitational-wave source populations, plus accelerated and interoperable inference.

PTA whitening result
04
Typed graph planning and execution

Reliable AI systems

Typed planning, deterministic validation, local repair, and reusable execution with Graphsmith.

Graphsmith pipeline