Yu Liang is a postdoctoral fellow at the Scripps Institution of Oceanography. He completed his PhD in the Department of Earth and Planetary Sciences at Yale. His work has focused on several key elements of the tropical air-sea system, including El Niño-Southern Oscillation, Madden-Julian Oscillation and tropical cyclones. He uses a range of research methods from observational analysis to climate modeling. He has recently developed a strong interest in AI. By using AI-based methods, he aims to improve the subseasonal prediction skill of extreme events, including heatwaves and extreme precipitation. He also works on better understanding ENSO dynamics and improving the ENSO prediction using machine learning.