Portfolio item number 1
Short description of portfolio item number 1
Short description of portfolio item number 1
Short description of portfolio item number 2 
Published:
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.
Published:
Applied Bayesian machine learning methods in epidemiology to estimate the effectiveness of public health policies on adverse health outcomes using observational data.
Published:
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.
Published:
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.
Published in Journal 1, 2023
IEEE VIS 2023 NL-VIZ Workshop, Melbourne, Australia – October 2023
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1).
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Published in Journal 1, 2025
IEEE Transactions on Visualization and Computer Graphics – August 2025
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2).
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Published in Journal 1, 2025
IEEE VIS 2025 Short Papers, Vienna, Austria – November 2025
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2).
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Published:
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Published:
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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