Congyu Wu is an Assistant Professor of Systems Science and Industrial Engineering at Binghamton University with 11 years of interdisciplinary experience spanning systems engineering, data science, psychology, and sociology. He develops machine learning and mobile sensing methods to characterize human behavior in socio-technical systems, translating ubiquitous sensor and social media data into actionable insights for personalized healthcare and professional performance. Previously a postdoc at UT Austin and a long-term researcher at the University of Virginia, he has led predictive modeling for community health and civil crisis early warning while mentoring students in statistical programming and research methods. His work bridges rigorous IRB-informed human subjects work and scalable computational modeling, reflecting both methodological depth and applied impact.
11 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS, Industrial Engineering, 3.84, Bachelor of Science - BS, Industrial Engineering, 3.84 at Tianjin University
Doctor of Philosophy (Ph.D.), Systems Engineering, Doctor of Philosophy (Ph.D.), Systems Engineering at University of Virginia
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Congyu Wu - Assistant Professor at Binghamton University