Herbert Wertheim College of Engineering
UF Data Studio
Led by Christan Grant · Computer and Information Science and Engineering
What we study
The UF Data Studio builds tools and methods for the full data pipeline, from acquisition to modeling and visualization. Their work includes natural language processing, fairness in machine learning, and visual analytics.
What working here is like
- Computational
- No organisms (data only)
- Coding required
- Papers
- 4
Recent papers, explained
- Reasoning Beyond Transcription: Audio Language Models on Child Stuttering Speech
2026 · Interspeech 2026
- Wiggum: Interactive visual analytics for examining mix effects
2026 · Information Visualization
Develops a tool to spot hidden patterns in mixed data sets.
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- Fairness across domains: a unified fairness-aware framework for domain generalization and unsupervised adaptation
2026 · Frontiers in Big Data
Builds a method to reduce bias in machine learning across different groups.
- Predicting Foam Characteristics of Body Wash Products Using Machine Learning
2026 · ACS Omega
Uses machine learning to predict foam quality in body wash formulas.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Christan Grant hasn't set up this page yet. Their UF Scholars profile lists their publications.