Elena Giusarma

Elena Giusarma is an Assistant Professor of Physics at Michigan Technological University, affiliated with the Department of Physics within the College of Sciences and Arts. Her research focuses on cosmology, particularly the interplay between theoretical models and observational data. She investigates cosmological datasets to understand the universe's origin, evolution, and composition, with a strong emphasis on neutrino physics and their effects on observables like the Cosmic Microwave Background (CMB) and large-scale structure.

Her work integrates machine learning techniques to address fundamental challenges in cosmology, including developing novel methods like generative adversarial networks (GANs) and diffusion models for cosmological simulations. She also explores Bayesian analysis and predictive modeling to enhance cosmological parameter estimation.

Her publications highlight contributions to understanding cosmological tensions (e.g., Hubble constant discrepancies), neutrino mass constraints, and dark matter/dark energy models. Recent work includes the CosmoVerse White Paper series and advancements in cosmological emulators.

Giusarma actively contributes to interdisciplinary efforts, such as the Snowmass2021 initiatives, and collaborates on large-scale projects like the CORE satellite mission and the Quijote simulations. Her research bridges particle physics, astrophysics, and computational methods, advancing our understanding of the universe's fundamental structure and evolution.