Pei-Chun Su

Pei-Chun Su is a Gibbs Assistant Professor at Yale University. Her research focuses on advanced signal processing techniques applied to biomedical problems, particularly in fetal electrocardiogram (ECG) analysis, optimal shrinkage methods for high-dimensional data, and clinical applications of noise reduction algorithms. She holds an email address at Yale: pei-chun.su@yale.edu.

Her work integrates mathematical theory with practical medical challenges, such as recovering fetal heart signals from maternal ECG recordings and developing robust metrics for high-dimensional datasets. Recent projects include applying neural operators and modern statistical methods to improve signal clarity in complex biomedical scenarios.

No scientific awards or grants are explicitly mentioned in the provided information. She has no listed advisees or teams, though her research interests suggest potential collaboration in biomedical engineering and data science.