About Me Link to heading

Hi, I'm ChengAo Shen, currently pursuing my Ph.D. at the University of Houston under the guidance of Professor Jingchao Ni. Prior to my doctoral studies, I earned a Bachelor of Science degree in Information and Computing Science from Sichuan Agricultural University in 2024.

Research interests Link to heading

My research aims to integrate machine learning and data science techniques to tackle core challenges in time series modeling and causal inference. I am particularly interested in leveraging multi-modal methods, such as language and vision, to enhance model understanding and predictive capabilities in complex systems. Specifically, my research interests include:

1. Time Series: Applying advanced machine learning and data science methods to improve modeling accuracy for time series data, enabling more reliable forecasting and anomaly detection across domains such as energy, finance, and healthcare.
2. Causal Discovery: Exploring the use of data science techniques to uncover causal relationships between entities in various fields, with the goal of developing novel and robust approaches for causal inference.
3. Multi-modal Learning: Investigating the integration of language and vision models to address challenges in time series analysis and causal discovery, focusing on synergistic modeling of heterogeneous and multi-source data.