I'm Utkarsh Mali

a PhD Candidate

Welcome

at the Canadian Institute for Theoretical Astrophysics | University of Toronto

½Û×ÓÊÓÆµ Me

½Û×ÓÊÓÆµ Me

I'm a gravitational wave astrophysicist at the Canadian Institute for Theoretical Astrophysics (CITA) and a member of the LIGO Scientific Collaboration.

Working under the supervision of Reed Essick, my research lies at the intersection of gravitational wave astrophysics and statistical inference.

I develop and apply hierarchical Bayesian inference methods to populations of gravitational wave sources to extract robust insights about the Universe from noisy, incomplete data.

View CV

Research

Research

Publications

Publications

PRD

Utkarsh Mali & Reed Essick Mar 2026

Neutron star classifications near the lower mass gap shows sensitivity to population hyperparameters and EOS assumptions, yielding broad P(NS) uncertainty despite data.

PRD

Reed Essick et al. (incl. Utkarsh Mali) Nov 2025

Sensitivity estimates for compact binary coalescence detection during the fourth observing run.

PRD

Sailesh Mohanty, Utkarsh Mali et al. Oct 2024

Modeling of NS oscillation modes across non-parametric EOS improves frequency predictions, enabling more robust inference of dynamical tides in NS mergers.

Sensors

Dung Ho et al. (incl. Utkarsh Mali) Dec 2019

Infrared spectroscopy with PCA reveals intrinsic microscale heterogeneity motivating multidimensional authentication frameworks. (Undergraduate Research)

(arXiv) ApJ

LIGO-Virgo-KAGRA (incl. Utkarsh Mali) Oct 2025

Population properties of merging compact binaries during the fourth observing run.

ApJ

Utkarsh Mali & Reed Essick April 2025

Spectral sirens show multiple mass features correlate with the expansion rate. The 9 and 32 solar mass peaks independently constrain cosmology, with model-independent statistics mitigating population systematics.

SSC21-WKII

Dylan Vogel et al. (incl. Utkarsh Mali) Jul 2021

We engineered and deployed the HERON CubeSat to study gene expression in low earth orbit, enabling low cost, open source biosatellite architectures. (Undergraduate Work)

Teaching

Teaching