Undergraduate Student
Department of Astronomy, Nanjing University
Nanjing 210023, Jiangsu, China
Hi, welcome! My name is Malin Ouyang (欧阳马霖), and I am an undergraduate student at the Department of Astronomy, Nanjing University, China.
My current research interests lie in early universe, black hole, and gravitational waves. The questions that motivate me most are rather fundamental ones: what happened in the early Universe, how spacetime responds to extreme astrophysical events such as compact object mergers, and what the physical nature and growth history of black holes truly are. I am particularly interested in problems at the interface of theory and observation, where analytical modeling and high-precision numerical simulations can be used to interpret observational data. My past experience includes work on GW physics, multi-messenger astronomy, and galaxy formation.
Like this website, I am still building the foundations of my academic path. Please feel free to reach out if you are interested in my work, or if you would simply like to discuss exciting ideas in astrophysics and cosmology.
Python, C++, C, PyTorch, LaTeX, Linux, Git, Mathematica
Languages: Chinese (native), English (fluent)
Explored neural network pipelines for detecting gravitational waves from compact binary coalescences using matched-filtering SNR time series. Trained CNN, ResNet50, and ResNet101 models; compared traditional vs. on-the-fly data augmentation. Demonstrated competitive sensitivity for BBH signals and identified challenges for BNS detection. [Code]
Investigated anisotropies in the nanohertz GW background induced by the Milky Way's inhomogeneous matter distribution. Computed the Galactic gravitational potential via finite-element methods (deal.II) and derived an anisotropic Hellings–Downs curve to better interpret pulsar timing array observations from NANOGrav, PPTA, EPTA and CPTA.
Used real-time LVK data and DESI galaxy catalogues to prioritize host galaxy candidates for electromagnetic follow-up. Developed a modular pipeline for light curve modeling, SNR computation, and detectability analysis of kilonovae, supernovae, and other transients using the Wendelstein 2-meter telescope.