My Publications

Beyond Fisher Forecasting for Cosmology

Ryan et al. (2023) — This paper explores advanced statistical methods that go beyond traditional Fisher matrix forecasting techniques for cosmological parameter estimation, enabling more accurate predictions for upcoming surveys.

Conference Proceedings & Preprints

Illustration showing gluons saturating inside a nucleus accelerated to high energy

Probing Dense Nuclear Matter at Small-x

Khan et al. (2026) — Proceedings of DIS2026, Bologna. Evolving the dipole–nucleus scattering amplitude with nonlinear QCD evolution is the bottleneck of every global small-x fit. This work, from the Saturated Glue (SURGE) collaboration, trains a machine learning surrogate on numerical BK/rcBK solutions so the evolution can be evaluated inside the fitting loop, with the exact solver reserved for final results near the optimum.

In Preparation

Primordial Non-Gaussianity

The tiny temperature fluctuations in the cosmic microwave background (CMB) encode information about the earliest moments of our universe. While simple inflationary models predict these fluctuations should be nearly Gaussian (randomly distributed like a bell curve), deviations from Gaussianity—called primordial non-Gaussianity (PNG)—would reveal details about the physics of inflation and the very first instants after the Big Bang. Detecting PNG is one of the key goals of modern cosmology.