I received my PhD degree in 2019 from the University of Michigan Ann Arbor, where I specialized in distributionally robust optimization theory and its applications to power systems and control. Following that, I joined the Argonne National Lab as a postdoc until 2023, focusing on the development of solution algorithms and computation tools for various practical applications. Currently, I am a research associate, dedicated to enhancing healthcare delivery efficiency through optimization and machine learning methods. Additionally, I am involved in the development of solution methods for robust Markov decision processes. Related publications can be explored on Google Scholar.