Recently, we focus on mathematics on data science, including

theory  on deep learning method for forward and inverse problems  

 and theory and algorithms for  deep  generative models, 

representation learning, reinforcement learning, theory 

for deep estimation, designing and analyzing sampling algoritihms,

and theory for LLM.