Zewei “Jason” Wu
Event Coordinator / Departmental Liaison
Major: Astronomy and Astrophysics, Class of 2025
Research Interest: Galaxies, Structural formation, Epoch of Reionization
Favorite Class: Computational Methods in Astrophysics (ASTR 21100)
This classic intro course, taught by the beloved Prof. Kravtsov, is one of the best introductions to computational astrophysics. The course covers key computational, statistical, and machine learning methods in modern astronomy, with a strong focus on vectorized computations using Python libraries like NumPy, SciPy, and AstroPy. Topics include N-body integration, ODE systems, numerical methods, Bayesian inference, Monte Carlo methods, and machine learning techniques such as clustering, kNN, random forests, and convolutional neural networks.