William La Cava
Faculty
Computational Health Informatics Program
Boston Children’s Hospital
Harvard Medical School
william.lacava@childrens.harvard.edu
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I run the Clarity- And Virtue-guided Algorithms Lab. We work to make AI technology deployed in health systems more fair, interpretable, and accessible. If you’re looking to do a post-doc, graduate or undergraduate studies at the intersection of interpretability, fairness, and health informatics, join the team!
- Research Projects
- Cava Lab (most current projects)
- Papers
- Code
- Machine Learning for Healthcare
- PennAI and Accessible, Automatic Data Science
- Improving Machine Learning Standards in Biomedical Informatics
- Understanding Predictive Models of Patient Outcomes
- Interepretability and Symbolic Regression
- Learning Intelligible Feature Spaces
- Lexicase Selection
- Identifying Concise, Nonlinear Dynamic Models
- Structural Adaptation of Models and Controllers
- Fairness
- Musings
- 2020-08-15 a walk-thru our recent pennai paper
- 2019-12-01 interpreting ml models from electronic health records
- 2018-01-02 data-driven advice for ml in biomedical informatics
- 2017-11-24 lexicase selection theory paper preprint
- 2017-02-15 three new papers
- See archive...
- Previous Groups
- Post-Doc
- Computational Genetics Lab
- Institute for Biomedical Informatics
- Warren Center for Network and Data Sciences
- PhD
- Research Scientist