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Research Scientist

MTS Company

Developing AI models for digital pathology and conducting bias related research

PhD

Washington University in St. Louis

Division of Computational and Data Sciences

BSc

The Hong Kong University of Science and Technology

Quantitative Social Analysis

Demographic Biases in Political Ideology Attribution by Vision-Language Models

Under Review

Vision-Language Models Generate More Homogeneous Stories for Phenotypically Black Individuals

ArXiv

Implicit Bias-Like Patterns in Reasoning Models

ArXiv

Visual Cues of Gender and Race Are Associated with Stereotyping in Vision-Language Models

ArXiv

Homogeneity Bias as Differential Sampling Uncertainty in Language Models

ArXiv

Examining the Robustness of Homogeneity Bias to Hyperparameter Adjustments in GPT-4

ArXiv

Probability of Differentiation Reveals Brittleness of Homogeneity Bias in GPT-4

ArXiv

Large Language Models Portray Socially Subordinate Groups as More Homogeneous, Consistent with a Bias Observed in Humans

FAccT '24: The 2024 ACM Conference on Fairness, Accountability, and Transparency

America's racial framework of superiority and Americanness embedded in natural language

PNAS Nexus