基本信息
浏览量:178
职业迁徙
个人简介
Focus Areas: Biomedical Image Analysis, Scientific Visualization, Systems
My research straddles (1) computation of imaging-based science and (2) fundamentals of data visualization.
(1) Science pairs measurement tools that produce experimental data with computational tools to process the data. Advances in scanned imaging modalities (CT, MRI, microscopy, etc) are constantly increasing in speed, resolution, and sensitivity. Research in collaboration with physical and biomedical researchers — who acquire image data to answer scientific questions — can advance how this data may be visually and quantitatively analyzed.
(2) It is an exciting time to try to develop the theoretical underpinnings of data visualization. As the discipline matures, we can develop increasingly detailed theoretical accounts of how effective data visualizations are designed, implemented, and perceived. Stretching visualization to new and fast-changing applications (particularly machine learning), however, challenges the coherence of vis theory.
My research straddles (1) computation of imaging-based science and (2) fundamentals of data visualization.
(1) Science pairs measurement tools that produce experimental data with computational tools to process the data. Advances in scanned imaging modalities (CT, MRI, microscopy, etc) are constantly increasing in speed, resolution, and sensitivity. Research in collaboration with physical and biomedical researchers — who acquire image data to answer scientific questions — can advance how this data may be visually and quantitatively analyzed.
(2) It is an exciting time to try to develop the theoretical underpinnings of data visualization. As the discipline matures, we can develop increasingly detailed theoretical accounts of how effective data visualizations are designed, implemented, and perceived. Stretching visualization to new and fast-changing applications (particularly machine learning), however, challenges the coherence of vis theory.
研究兴趣
论文共 122 篇作者统计合作学者相似作者
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PLoS computational biologyno. 2 (2024): e1011815-e1011815
CoRR (2023)
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Kameel Khabaz,Seth Sankary,Karen Yuan,Joseph Pugar,David Jiang,Sanjeev Dhara,Junsung Kim, Janet Kang, Nhung Nguyen,Kathleen Cao, Newell Washburn, Nicole Bohr,
crossref(2022)
biorxiv(2022)
arxiv(2021)
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user-5d4bc4a8530c70a9b361c870(2020)
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