Tianjun Sun

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Dr. Tianjun Sun’s research primarily focuses on personnel selection, individual differences, psychometrics, and using advanced technology and quantitative methods to enhance staffing decisions, improve candidate/employee experiences, and solve organizational problems.

Dr. Sun actively publishes in reputable, high-impact journal outlets, and her projects have been supported by the National Science Foundation (NSF), the National Institutes of Health (NIH), and the Society for Industrial and Organizational Psychology (SIOP) Foundation.

Dr. Sun has been recognized as a Rising Start by the Associate for Psychological Science (APS) and has received a series of awards from SIOP, the American Psychological Association (APA), and the Academy of Management (AOM).

On the applied side, Dr. Sun has broad experience working in consulting, testing, and tech industries, as well as in areas of people analytics, learning and testing, and talent assessment.

RESEARCH INTEREST GROUP

Industrial/Organizational

Research Areas

personnel selection; individual differences; research methods; applied psychometrics; cross-cultural psychology

Education

B.S. in Psychology and Statistics (Cum Laude, with Highest Distinctions), 2015

M.S. in Industrial-Organizational Psychology, University of Illinois Urbana-Champaign, 2017

M.S. in Applied Statistics, University of Illinois Urbana-Champaign, 2019

Ph.D. in Industrial-Organizational/Personality Psychology (minor in Quantitative Psychology), University of Illinois Urbana-Champaign, 2021

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