معرفی
Yuankai Huo is an Assistant Professor in Computer Science at Vanderbilt University, where he leads the biomedical data Representation and Learning laB (HRLB). His research bridges medical image analysis and machine learning, focusing on computational methods for healthcare innovation.
Education:
- Ph.D. in Electrical Engineering, Vanderbilt University (2018)
- M.S. in Computer Science, Columbia University (2013–2014)
Research Focus: Dr. Huo develops AI-driven solutions for medical challenges, including digital pathology segmentation, 3D medical imaging reconstruction, and neuroimaging analysis. His work emphasizes scalable deep learning architectures and cross-domain adaptation (e.g., histopathology to neuroimaging).
Publication Trends: Recent articles (2023–2025) demonstrate advancements in: (1) Whole-slide image segmentation for renal and gastrointestinal pathology, (2) Foundation models for multi-modal medical data, (3) Optimization of 3D imaging pipelines, and (4) AI-powered diagnostic benchmarking. Cross-cutting themes include self-supervised learning and computational efficiency.
Engagement: Dr. Huo participates in NIH workshops (e.g., grant writing in 2022, short talks in 2023) and organizes seminars through HRLB.
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