Lin YaoGraduate Student
- Research Focus:
- Tropical convection, explainable AI, fluid dynamics, and climate change
- Email:
- linyao@uchicago.edu
Biography
- PhD, 2020-2026 (expected)
- BS, Atmospheric Sciences, Nanjing University, 2019
Research Interests
My research centers on moist convection. I study how large-scale tropical convection (e.g., convective self-aggregation and the MJO) forms and changes with climate. I combine theory, cloud-resolving models, and machine learning to uncover essential mechanisms and sources of predictability. I also investigate extreme weather events and polar vortex dynamics.
Publications
- Yao, L., D. Yang, J. Duncan, A. Chattopadhyay, P. Hassanzadeh, W. Bhimji, and B. Yu (Submitted). Deep learning the sources of MJO predictability: a spectral view of learned features. arxiv: https://arxiv.org/abs/2510.03582
- Yao, L., and D. Yang (In preparation). The Role of Equatorial Waves in MJO Predictability in Deep Convolutional Networks.
- Yao, L., W. Kang, G. Flierl, C. Liu, A. Kan, and K. Burns (Submitted). Baroclinic instability as a driver of polar vortices on giant planets. WHOI GFD Proceedings Volume 2025. (Preview link)
- Yang, D., L. Yao, and W. Hannah (2024). Vertically Resolved Analysis of the Madden-Julian Oscillation Highlights the Role of Convective Transport of Moist Static Energy. Geophysical Research Letters. doi:10.1029/2024GL109910
- Yao, L., and D. Yang (2023). Convective Self-Aggregation Occurs Without Radiative Feedbacks in Warm Climates. Geophysical Research Letters. doi:10.1029/2023GL104624
- Yao, L., D. Yang, and Z.-M. Tan (2022). A Vertically Resolved MSE Framework Highlights the Role of the Boundary Layer in Convective Self-Aggregation. Journal of the Atmospheric Sciences. doi:10.1175/JAS-D-20-0254.1
Awards
- WHOI GFD fellow, 2025
- Outstanding Student Oral Presentation at 24th Conference on Atmospheric and Oceanic Fluid Dynamics, 2024
- Chinese Government Award for Outstanding Students Abroad, 2023
- Outstanding Graduate, 2019
- National Scholarship, 2017