Jamelle Watson-Daniels
reliability
fairness
interpretability
machine learning
multimodal large language models
cross-modal projection
2
presentations
SHORT BIO
Jamelle Watson-Daniels is a PhD Candidate in Applied Math at Harvard University. She received a combined degree in Physics and Africana Studies from Brown University. She is a Ford Foundation Pre-doctoral Fellow and NSF Graduate Research Fellow. Jamelle's research focuses on developing fair and trustworthy machine learning methods.
Presentations
Cross-Modal Projection in Multimodal LLMs Doesn’t Really Project Visual Attributes to Textual Space
Gaurav Verma and 5 other authors
Predictive Multiplicity in Probabilistic Classification
Jamelle Watson-Daniels and 2 other authors