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Feng Ji is an Assistant Professor at the University of Toronto, specializing in data sciences and its applications in understanding social behavioral sciences. His research interests primarily lie in the overlap of machine learning applications, psychometrics, and quantitative methods. With expertise in utilizing statistical learning approaches, Ji contributes significant insights into how data can inform social behavior analyses. His work encompasses developing methodologies for robust data interpretation and fostering interdisciplinary collaboration across various fields. The application of machine learning in the behavioral sciences allows for innovative exploration and comprehensiveness in analyses, ultimately supporting more effective strategies and interventions in social research.
Department of Sociology