Scholar
Messi H.J. Lee
Google Scholar ID: k15hLEsAAAAJ
MTS Company (Previously Washington University in St. Louis)
Citations & Impact
Citations
85
H-index
4
i10-index
2
Publications
8
Co-authors
2
list available
Publications
Resume (English only)
Academic Achievements
- Publications: 1. 'Implicit Bias-Like Patterns in Reasoning Models' (pre-print), 2. 'Visual Cues of Gender and Race are Associated with Stereotyping in Vision-Language Models' (pre-print), 3. 'Homogeneity Bias as Differential Sampling Uncertainty in Language Models' (pre-print). Awards: Successfully defended his dissertation and became Dr. Lee.
Research Experience
- Work Experience: Currently serving as a technical research personnel in South Korea, developing AI models for pathology and conducting research related to bias in pathology-related AI models. Position: Technical Research Personnel (전문연구요원). Company: MTS Company. Research Projects: Developing AI models and researching algorithmic bias in medical AI applications.
Education
- Degree: PhD; School: Washington University in St. Louis; Advisors: Calvin K. Lai (Department of Psychology at Rutgers University) and Jacob M. Montgomery (Political Sciences Department at WashU); Time: Up to May 2025; Major: Computational and Data Sciences.
Background
- Research Interests: Machine psychology, specifically stereotyping in AI models. Professional Field: Computational and Data Sciences. Brief Introduction: Messi H.J. Lee completed his PhD in Computational and Data Sciences at Washington University in St. Louis (WashU) in May of 2025. His research focuses on the emerging field of machine psychology, particularly investigating stereotyping in AI models.
Miscellany
- Personal Interests: Interested in research on AI bias and stereotyping. Contact: hojunlee1012[at]gmail[dot]com.
