Herbert Wertheim College of Engineering
Wormald Lab
Led by Stephen Wormald · Computer Science(unverified)
What we study
Recent student projects in this lab have studied explainable AI, finding groups of neurons in deep learning models and drawing cause-and-effect graphs, with SHAP explanations, to show why a model makes its decisions.
What working here is like
- Computational
- No organisms (data only)
- Coding required
- Projects
- 2
Current projects
Project Causal Clusters: Representing Explainable Features Learned by Deep Neural Networks as Causal Graphs
The lab studies how groups of neurons in deep learning models relate to each other by turning those groups into causal diagrams and using SHAP to explain them. The student will help find clusters at each layer and test whether the explanations improve detection of false positives and negatives.
From the Spring 2025 UF Undergraduate Research Symposium · abstract book, p. 411
Causal Clusters: Representing Explainable Features Learned by Deep Neural Networks as Causal Graphs
The project looks at how patterns form inside AI models and draws simple cause‑and‑effect diagrams to show why the model makes certain decisions. The student will identify clusters, run explanation tools, and build the causal graphs.
From the Spring 2025 UF Undergraduate Research Symposium · abstract book, p. 57
Summaries are written by AI in plain language from public symposium abstracts and may be imperfect.
How to reach out
Stephen Wormald hasn't set up this page yet. You can also look them up in the UF directory (search “Stephen Wormald”).