Projects
ActionCue
Visualizing uncertainty-to-action composition for human oversight
ActionCue is a process-transparency visualization that shows how multiple uncertainty conditions are combined into an oversight response. The underlying framework determines whether and how an AI-supported decision may proceed, while keeping that oversight response separate from the substantive domain decision itself. The approach was demonstrated through worked cases in healthcare, credit assessment, and disaster forecasting, and compared with confidence-only and data-level uncertainty displays.
Themes: Visualization · Human-AI Interaction · Uncertainty · Human Oversight

UNACORM
Unified evaluation of DNA data-storage codecs
UNACORM provides a common environment for evaluating DNA data-storage codecs across multiple dimensions, enabling systematic and reproducible comparison of their performance and trade-offs.
Themes: Evaluation & Reliability · Benchmarking · Visualization · Scientific Software

DNAsmart
Interactive multi-attribute comparison of DNA data-storage systems
DNAsmart is an interactive visual-analytics tool for comparing DNA data-storage systems across multiple attributes. It allows users to explore how different evaluation criteria and their relative importance affect the ranking of competing approaches.
Themes: Visualization · Comparative Evaluation · Interactive Analytics

MetaMP
Unified and auditable membrane-protein annotation
MetaMP brings together membrane-protein annotations from multiple sources in a unified, provenance-aware resource. It supports comparison across databases, exposes disagreement between sources, and provides workflows for benchmark interpretation and quality assessment.
Themes: Biomedical Research · Evaluation · Benchmarking
Guiding Sentiment Analysis with Hierarchical Text Clustering
Exploring public-health discourse through machine learning and visualization
This work combined hierarchical text clustering with sentiment analysis to study large-scale public discourse around face masks during the COVID-19 pandemic. The approach enabled sentiment to be examined within topics and subtopics rather than only at the level of the complete dataset.
Themes: Public-Health AI · Visualization · Natural Language Processing

