Texas Tech University

Christine Nittrouer

Christine Nittrouer

Assistant Professor


Room Number: E330


Research Expertise

  • Stigma theory
  • Diversity, equity, and inclusion
  • Allyship and identity management


  • PhD, Industrial/Organizational Psychology, Rice University
  • MS, Industrial/Organizational Psychology, Rice University
  • MS, Special Education, University of Illinois Urbana-Champaign
  • BBA, Management, University of Notre Dame


Christy Nittrouer is a tenure-track, assistant professor in the management area in the Rawls College of Business at Texas Tech University. She earned her PhD in industrial/organizational psychology from Rice University. Her research draws upon stigma theory to explore the impact of stereotypes, prejudice, and discrimination in the workplace. She additionally examines allyship, allyship strategies and their effectiveness and identity management theory applied to unconventional contexts.

She has received NSF grant funding for her scholarly work, as well as awards and scholarships from the Academy of Management (AOM), Society for Industrial/Organizational Psychology (SIOP) and several universities. She has 17 published peer-reviewed papers and book chapters (at outlets including the Proceedings of the National Academy of Sciences, Journal of Vocational Behavior and Harvard Business Review) and has given over 50 presentations on the impact of diversity in the workplace, with a special focus on selection. Her work has been featured in The Atlantic, The New York Times, NPR and the Houston Chronicle.

She received Rice University’s 2020 graduate teaching award for her outstanding work teaching undergraduates, and she currently teaches "Diversity, Equity and Inclusion in Organizations" and "Managing Human Resources" at the Rawls College of Business.

She has consulted for companies including LyondellBasell (global legal team), Exxon Mobil (affinity group), Baylor College of Medicine (medical students), Proctor & Gamble (global talent assessment team) and non-profits (selection).