Assistant Professor, Industrial-Organizational Psychology
College of Science Diversity Fellow
Data Science Faculty Fellow
Faculty Affiliate, Center for the Future of Work Places and Practices
College of Science Diversity Fellow
Data Science Faculty Fellow
Faculty Affiliate, Center for the Future of Work Places and Practices
EMail
Office Address
135 Williams Hall
Office Phone
Web Link 2
Short Bio
Dr. Ivan Hernandez is an Assistant Professor of Industrial-Organizational Psychology at Virginia Tech where he directs the Computational Organizational Research Lab. He is also an affiliate of the Center for the Future of Work Places and Practices. Recently, he led the winning team in the 2023 SIOP Machine Learning Competition. Dr. Hernandez also develops research tools for generating personality assessments, detecting survey fabrication, studying organizational diversity, and enhancing scientific communication.
I am accepting graduate student applications for students interested in being part of the Fall 2024 cohort. If you are interested in applying, please feel free to send me an email (title: "Prospective Student Introduction"), with your research interests, career goals, and motivation for going to a doctoral program. It is a great way to introduce yourself and examine fit early in the process. Students with interests in Social Justice and Human/Animal rights are especially encouraged to apply.
I am accepting graduate student applications for students interested in being part of the Fall 2024 cohort. If you are interested in applying, please feel free to send me an email (title: "Prospective Student Introduction"), with your research interests, career goals, and motivation for going to a doctoral program. It is a great way to introduce yourself and examine fit early in the process. Students with interests in Social Justice and Human/Animal rights are especially encouraged to apply.
Interests
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Developing AI-based Tools to Improve Survey Research: Program and invent new ways to improve the process of collecting self-report survey data. These innovations are designed to make the survey process more accessible, efficient, and scalable.
- Minimizing Fabrication and Falsification from Survey Data: Develop and compare approaches to detect the presence of fabricated data within scientific research
- Developing Tools to Improve Examining Diverse Populations: Study underrepresented groups by using advances in machine learning to create tools that draw scalable inferences in ways not possible with traditional methods
Recent Courses Taught
- PSYC 2084 (Social Psychology)
- PSYC 4984 (Predicting Social Behavior)
- PSYC 4364 (Special Topics: Animals and Society)
- PSYC 6014 (Quantitative Methods in Industrial Organizational Psychology)
Degrees
- Post Doctoral Training, Northwestern University (2015 - 2016)
- Ph.D. Social/Organizational Psychology, University of Illinois at Urbana-Champaign (2015)
- M.S. Applied Measurement, University of Illinois at Urbana-Champaign (2014)
- M.A. Social Psychology, University of Illinois at Urbana-Champaign (2012)
- B.S. Psychology (Minor: Statistics), University of Florida (2009)