Jianxin Xie serves as an Assistant Professor at the School of Data Science. Her research interests encompass the use of advanced machine learning and data analytics tools to tackle challenging health care and engineering problems. Jianxin holds multidisciplinary background in machine learning, material science, and physics.

Prior to joining UVA in 2023, she was a Ph.D. student in the Department of Industrial and Systems Engineering at the University of Tennessee at Knoxville. There, she developed physics-constrained machine learning models to monitor and understand complex cardiac systems. Before embarking on her doctoral studies, she earned her master’s degree, focusing her thesis on nano-carbon material fabrication and characterization. Jianxin is now committed to advancing AI techniques for superior industrial applications.

Jianxin's future research aims to extend physics-augmented machine learning for patient-specific detection and characterization of diseases, enhancing the confidence of AI-assisted clinical decision support. She also plans to broaden its applications in various spatiotemporal 3D systems. Recognizing challenges in complexed data structure, such as uncertainty, multimodality, and sample imbalance, she intends to develop computational models to extract disease-altered information to maximum extent and enable precision diagnosis. She has journal articles published on IEEE Transactions on Automation Science and Engineering, Computers in Biology and Medicine, IISE Transaction on Healthcare Systems Engineering.

Jianxin holds a Ph.D. and a master's degree in Industrial Engineering from the University of Tennessee at Knoxville and Florida State University, respectively, along with a Bachelor's degree in Physics from Southeast University in China.

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Jianxin Xie

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