Xinyu Yao is a Ph.D. student in Information Systems and Management at Heinz College, Carnegie Mellon University. Her research interests lie in healthcare informatics and healthcare operations. Leveraging advanced approaches from machine learning and operations research, her work aims to facilitate medical decision-making and improve the efficiency of the health system in uncertain, dynamic, and heterogeneous clinical environments. During her Ph.D., she has conducted studies that optimize outpatient resource allocation with stochastic modeling methods and improve readmission and mortality prediction performance with interpretable deep learning techniques. Her doctoral thesis, advised by Prof. Rema Padman, Prof. Holly Wiberg, and Prof. Karmel Shehadeh, focused on medication reconciliation with AI algorithms incorporated with decision theory.
Xinyu also interned at Amazon as a research scientist intern in the summers of 2022 and 2023. She holds a Master's Degree in Machine Learning from CMU (2021) and a B.S. in Industrial Engineering from Tsinghua University (2019).