Camelia D. Brumar

Camelia D. Brumar is a PhD Candidate in Computer Science at Tufts University and a Visiting PhD Student at Harvard University's Visual Computing Group. She co-founded Boston Vis, a collaborative network for visualization researchers in the Greater Boston Area.

• Education: B.S. in Theoretical Mathematics from University of Maryland, College Park
• Research Focus: Systematic visualization design for decision-making processes, bridging gaps between problem spaces and design spaces through qualitative methods

Her work intersects Visual Analytics, Human-Computer Interaction, and Machine Learning, with recent publications on decision-making taxonomies, dimensionality reduction explanations, and knowledge graph visualization. Key trends include:

• Interactive predicate logic for pattern explanation
• Domain expert challenges in automated data science
• Anomaly reasoning frameworks
• Medical AI applications for embryo grading

Scientific Achievements:

• Organizer of Boston Vis (2024)
• Tutorial presenter on LLMs for research paper interaction (2024)
• IEEE Visualization 2024 Doctoral Colloquium participant
• Contributor to Dagstuhl Seminar on provenance in automated data science (2023)

Industry experience includes roles at Tableau Research, Alife Health, and Bose Corporation, with collaborations spanning MIT Lincoln Laboratory, National Renewable Energy Laboratory, and Worcester Polytechnic Institute.