Studies the structure, kinematics, and dynamics of star clusters and star-forming regions, stellar binary populations, and alternative stellar-evolution pathways such as blue stragglers.
Develops cryogenic microcalorimeter/TES-based X-ray and far-infrared detector arrays used in X-ray astronomy and CMB instrumentation.
Observational astronomer studying the growth of supermassive black holes and their co-evolution with host galaxies.
Experimental cosmologist developing next-generation CMB detector arrays. Directions: (1) CMB-S4 detector development — leading TES bolometer and MKID array design for 500,000-detector focal plane; (2) South Pole Telescope SPT-3G operations and analysis; (3) cryogenic readout electronics including SQUID multiplexing at millikelvin temperatures; (4) quantum-limited photon detection at mm/submm wavelengths. APS Fellow.
McMahon develops data-intensive, multi-wavelength observational techniques for wide-field imaging surveys (including gravitationally lensed quasar discovery in Gaia data) and plays a leading role in the Square Kilometre Array (SKA) and MOONS spectrograph projects, as well as national AI research infrastructure for astronomy.
Mohanty's group studies the formation and early evolution of stars, brown dwarfs and planetary systems, combining optical/infrared spectroscopy and ALMA observations of protoplanetary disks to understand accretion, disk chemistry and planet formation.
Moore develops novel Bayesian data-analysis techniques for gravitational-wave time-series data from merging black hole binaries, using these signals to probe astrophysics and fundamental physics, including tests of general relativity and constraints from future space-based (LISA) observations.
Mortlock develops Bayesian statistical methods to find and characterise rare astrophysical objects in large sky surveys, most notably the discovery of some of the most distant known quasars, informing early-Universe black-hole growth and reionisation studies.
Observational astronomer studying time-domain astrophysics and transients (supernovae) using wide-field surveys and follow-up instrumentation.
Oswald applies modern data-driven and machine-learning techniques to enormous datasets from large pulsar surveys (Parkes Young Pulsar Array, MeerKAT Thousand-Pulsar-Array) to understand pulsar radio emission mechanisms, polarization behaviour and the structure of the Galactic magnetic field.