Chenkai Wang (王晨凯)

I am Chenkai Wang, currently a research assistant in the Financial Intelligence and Big Data (fiBID) Lab at the Southern University of Science and Technology (SUSTech). I also received my M.Sc. in Mathematics (with distinction, 2024) and B.S. in Statistics (2022) from the Department of Statistics and Data Science at SUSTech. I have the good fortune of being supervised by Prof. Peng Yang since the beginning of my graduate studies. Previously, I studied core statistical concepts and explored network science under the valuable mentorship of Prof. Yifang Ma.

My past research focuses on enhancing the learning efficiency and decision reliability of models or policies in complex, dynamic, and uncertain real-world scenarios. Motivated by the same pursuit, the emergence of LLMs is reshaping how we extract patterns from data and reason about complex real-world environments. I am currently interested in LLMs and agents, especially in how statistical perspectives can contribute to a deeper understanding of their reliability, robustness, and interpretability.

I am actively seeking a Ph.D. position for Fall 2026. I'm always open to new opportunities, collaborations, or suggestions—you're more than welcome to write me an email to connect (or make friends)! Let's explore the exciting world together!