Bing Si

Bing Si is an associate professor in the School of Computing and Augmented Intelligence at Arizona State University. She received her Ph.D. in Industrial Engineering from ASU in 2018, and her B.S. in Mathematics from the University of Science and Technology of China in 2012.

Si’s research focuses on statistical machine learning and data fusion for complex-structured heterogeneous data in healthcare and medicine. Technological advancements in diagnostic imaging, smart sensing, and health information systems have created a big data environment for Precise Medicine and Population Health. Si’s research lies at the intersection of statistical modeling, machine learning, and healthcare data science throughout the patient care cycle, including screening, diagnosis, prognosis, treatment, monitoring, and care, to system-level decision-making. In collaboration with physicians, clinical scientists, and nurse researchers, she has experience with disease areas including cardiometabolic diseases (e.g., obstructive sleep apnea) and neurological disorders (e.g., Alzheimer’s disease, migraine, and traumatic brain injury), as well as quality-of-care research on health care providers’ practices (e.g., care coordination and health screening for domestic violence and human papillomavirus immunization). Her research, which develops a collection of novel statistical machine learning methodologies for heterogeneous health data in precision medicine, public health, and healthcare systems, is sponsored by both industry and federal agencies including NIH and AHRQ with R03, R21, and R01.

Si is a recipient of multiple awards such as Early-Stage Distinguished Research Award (2023), Million Dollar Award (2023), Grace Hopper Faculty Scholarship (2020), Dean’s Dissertation Award from ASU (2017), Outstanding Emerging Fulton Student Organization Leader (2017), ISE Featured Article (2017, 2023), and IISE Student Best Paper Finalists (2017, 2024). She is a member of IISE, INFORMS, IEEE, and SRS. Si serves as a Guest Editor for Mathematics and an Associate Editor for IISE Transactions on Healthcare Systems Engineering.