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About me

I am currently working on a data-driven climate modeling project (https://clima.caltech.edu) as a research scientist with Prof. Andrew Stuart and Prof. Tapio Schneider at Caltech. My research mainly focuses on developing novel methods to learn stochastic or nonlocal closures for complex dynamical systems (e.g., multi-scale, multi-physics, chaotic) from limited data.

I received my Ph.D. degree (2018) in Aerospace Engineering from the Department of Aerospace and Ocean Engineering at Virginia Tech. My Ph.D. advisor is Prof. Heng Xiao. My previous research mainly focused on data-driven turbulence modeling by using Bayesian inference and machine learning techniques.

Recent Events

SIAM 
Computational Science & Engineering
Mar. 1 - 5, 2021
SIAM
Annual Meeting
Jul. 19 - 23, 2021
APS 
DFD Annual Meeting
Nov. 21 - 23, 2021, Phoenix

RESEARCH ARTICLES