🤩About Me
I’m Luoting Zhuang, a PhD candidate in Medical Informatics at UCLA, where I develop artificial intelligence and computational modeling approaches to address challenges in medical imaging and precision medicine. My work focuses on extracting clinically meaningful biomarkers from imaging data, integrating multimodal information, and building robust models that translate into real-world healthcare applications.
- Artificial Intelligence
- Medical Imaging
- Longitudinal Modeling
- Lung Cancer
PhD Medical Informatics
University of California, Los Angeles
MS Biomedical Inforamtics
Harvard Medical School
BS Applied Mathematics
University of California, Los Angeles
My research lies at the intersection of medical imaging, machine learning, and clinical decision support, with a focus on developing explainable, robust, and generalizable AI tools for early disease detection.
Core areas include:
- Imaging biomarkers for pulmonary nodules — Leveraging longitudinal modeling to detect and track changes that may indicate malignancy.
- Vision–language and multimodal learning — Integrating radiologists’ semantic assessments and imaging features to improve prediction accuracy and explainability.
- Robust image analysis — Enhancing image preprocessing pipelines, including segmentation and feature extraction methods
- Multimodal oncology modeling — Fusing imaging, histopathology, genomics to advance precision oncology and personalized care.