Projects
Causal Lens for Algorithmic Fairness
Oct 2024 - Feb 2025
Engineerd a causal-methodology pipeline to assess subgroup fairness across sensitive and non-sensitive attributes, decomposing bias pathways through mediation analysis to isolate and measure path-specific effects driving inequities.
Large Language Model Assisted Causal Model Auditing and Development
Mar 2024 - Present
Utilized LLMs and visualization techniques to refine causal graphs by identifying latent variables and generating interpretable justifications. Explored diverse, persona-informed causal structures tailored to varied contextual scenarios.
Machine Learning Approach in Legal Epidemiology
Aug 2023 - Present
Applied Bayesian machine learning methods in epidemiology to estimate the effectiveness of public health policies on adverse health outcomes using observational data.
Explainable Reinforcement Learning in Real Strategy Games
Jun 2022 - Sep 2024
Developed a visualization-based XRL tool to enhance human understanding of RL agents. Applied to the complex microRTS game, the dashboard provided multi-level explanations—tactical insights through visualizations and strategic reasoning via causal models.