Professional Interests
I do machine-learning research and development. Research areas include:
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Model Fairness
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Explainable post-training bias mitigation with distribution-based fairness metrics
[link]
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Wasserstein-based fairness interpretability framework for machine learning models [link]
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Model-agnostic bias mitigation methods with regressor distribution control for Wasserstein-based fairness metrics [link]
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Model Explainability
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MbExplainer: Multilevel bandit-based explanations for downstream models with augmented graph embeddings [link"]
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Building and Testing Deep-Learning Models
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Exploring Process Improvements for Conventional Model Building
Personal Interests
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Algorithmic Art
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Simulations
- Animal Welfare and Vegan Food
Unprofessional Interests
Contact Me
I can be reached at ryanfranks1996 AT gmail.com