- Research -
My research studies on how galaxies form and transform in the cosmic history using cutting-edge machine learning (ML) techniques. In particular, I investigate living fossils of early galaxies with primitive environments. Additionally, I work on connecting the fields studying on tracers in emission (i.e., mergers and local overdensities) and that relys on probes in absorption (i.e., the gaseous conditions of the circumgalactic medium and intergalactic medium). With these approaches, I aim to build a conprehensive view of galaxy evolution across cosmic time. I have developed a variety of machine learning technqiues, including both supervised and unsupervised approaches, to support the analyses of and discoveries from current and upcoming influx of large datasets. The following blocks summarise some of my research pursuits
I am also collaborating in other projects with international researchers on the topics of Lyman Continuum Leaker, strong gravitational lensing, anomaly detection, and gravitational wave (non-exhausted list). A full collection of my (and collaborated) publications can be found at ADS.
Lyα Forest and IGM/CGM
