Congyu Wu

Cyber-Human Systems Researcher

Congyu "Peter" Wu, Ph.D., is a prominent postdoctoral fellow who has made significant contributions to the field of human systems engineering and data science. He completed his postdoctoral research at The University of Texas at Austin from July 2019 to August 2022, where he was involved in the Whole Communities-Whole Health Grand Challenge Initiative. This initiative focuses on using interdisciplinary approaches to address health disparities in underserved communities by leveraging data from various sources, including smartphones and wearable devices, to analyze health behaviors and outcomes.1 3

Educational Background

Ph.D. in Systems Engineering from the University of Virginia (2019)
Master of Engineering in Systems Engineering from the University of Virginia (2015)
Bachelor of Science in Industrial Engineering from Tianjin University (2012)

Research Focus

Dr. Wu's research interests encompass several areas:

Human-Centric Sensing: Utilizing mobile and wearable technology to monitor health and behavior.
Social Signal Processing: Analyzing interactions within dyads and groups to understand social dynamics.
Computational Social Science: Applying data science techniques to study human behavior in socio-technical systems.

His work aims to improve healthcare delivery and professional performance by analyzing behavioral signals through ubiquitous technology.2 3

Current Position

As of now, Dr. Wu serves as an Assistant Professor in the Department of Systems Science and Industrial Engineering at Binghamton University, where he continues his research on health sensing and community engagement.1 2

Notable Contributions

During his tenure at UT Austin, Dr. Wu contributed to various projects aimed at improving public health through data analysis. He played a critical role in studies focusing on metabolic syndrome among Latina women, utilizing low-cost mobile devices to gather and analyze health-related data.3 His expertise in machine learning and predictive modeling has been instrumental in producing scientific publications that advance understanding of health behaviors.

Dr. Wu's interdisciplinary background combines engineering principles with insights from psychology and sociology, making him a valuable asset in the field of health informatics and systems engineering.1 2