Serena Wee

Associate Professor, PhD Illinois at Urbana-Champaign

  • The University of Western Australia (M304), 35 Stirling Highway,

    6009 Perth

    Australia

Personal profile

Biography

Dr Serena Wee is an associate professor in work psychology at the School of Psychological Science. She completed her PhD in Industrial and Organisational Psychology in 2010 at The University of Illinois at Urbana-Champaign, where she also received an MA in Applied Statistics in 2009. 

Serena is passionate about helping organisations develop equitable and effective selection systems. In her research, she investigates how people's skills, personality, and attitudes predict work outcomes in relation to hiring, promotion and turnover, with the ultimate aim of advancing diversity outcomes in organisations. Her work has been published in top-tier journals including Journal of Applied Psychology, Personnel Psychology, Journal of Organisational Behavior, Psychological Bulletin, and Psychological Review

View CV

Teaching overview

PSYC5514 Assessment and Selection

PSYC5513 Research Methods in Applied Settings

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 5 - Gender Equality
  • SDG 8 - Decent Work and Economic Growth
  • SDG 10 - Reduced Inequalities

Education/Academic qualification

Industrial and Organisational Psychology, PhD, University of Illinois at Urbana-Champaign

20042010

Award Date: 1 Aug 2010

Applied Statistics, MS, University of Illinois at Urbana-Champaign

Award Date: 17 May 2009

Industrial and Organisational Psychology, MA, University of Illinois at Urbana-Champaign

Award Date: 6 Aug 2007

Research expertise keywords

  • Personnel selection and recruitment
  • Organisational diversity
  • Measurement
  • Cognitive ability
  • Personality
  • Vocational interests
  • Individual differences
  • Statistics

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