Pengzhan Guo's research project covers methodology and applications in machine learning and data mining. He is especially interested in parallel computing, human resource management and mobile computing.
His teaching interests at Duke Kunshan include linear algebra and machine learning.

He has published papers in refereed journals and conference proceedings such as IEEE Transactions on Knowledge and Data Engineering (TKDE), ACM Transactions on Intelligent Systems and Technology (TIST), and the IEEE International Conference on Data Mining (ICDM). He has obtained many awards including the TMC-21 Best Paper Award and ICDM-2019 Student Travel Award.
He received his master's and Ph.D. degrees in applied mathematics and statistics from Stony Brook University.