A person posing for a photo.

Khang Nguyen

Khang’s research will be to develop machine learning tools to help quantify and study global processes that dictate star formations within the centre of our Milky Way galaxy.

Khang Nguyen graduated with a MSci in Physics and Astrophysics in 2022 at the University of Birmingham, and was recently working as a research assistant to the newly-formed Simons Astrophysics Group at ICISE (SAGI) in Vietnam.

Specifically, his project was on utilising dust polarisation data from the SOFIA/HAWC+ airborne telescope, to study the magnetic field properties surrounding the high-mass W51 molecular cloud complex, and how it affects the cloud’s star-forming mechanisms.

Khang will join LIV.INNO as a PhD candidate in November 2023, working on designing machine-learning pipelines to analyse gargantuan amounts of data from the Atacama Large Millimetre Array (ALMA) to study the different mechanisms influencing on how stars form within the inner central region of the Milky Way.

His work is based mainly at the Astrophysics Research Institute (ARI) at Liverpool John Moores University, and will partially be stationed at the Harvard-Smithsonian Center for Astrophysics (CfA).