Yanzhe Zhang

Within the realms of cosmology and the evolution of galaxies, a focal point of investigation pertains to the intricate disentanglement of star formation history of galaxies from their spectra. My research pursuits are distinctly oriented towards the advancement of these astronomical narratives, facilitated by the adept application of machine learning methodologies, espectially the utilization of Principal Component Analysis. By refining and innovating star formation history models, I aim to transcend the limitations of conventional parametric and non-parametric approaches, ultimately revealing more accurate and nuanced insights into the captivating storylines that have shaped galaxies across cosmic epochs.