Jiayun Wang

Jiayun (Peter) Wang is a Postdoctoral Scholar Research Associate in the Department of Computing and Mathematical Sciences at the California Institute of Technology (Caltech). His research focuses on advancing AI-driven solutions in medical imaging, computational imaging, and computer vision. Current projects emphasize applying deep learning to diagnose ocular conditions like dry eye syndrome and improving 3D reconstruction techniques. Collaborations with institutions such as UC Berkeley, Microsoft, and NVIDIA highlight his interdisciplinary approach to solving real-world medical and imaging challenges.

Research Interests:

• Medical AI and Healthcare Analytics
• Deep Learning Applications in Ophthalmology
• 3D Reconstruction and Scene Understanding
• Physics-Informed Neural Networks
• Compressed Sensing MRI

Key Contributions:

• Developed machine learning models predicting dry eye-related outcomes using meibography images
• Pioneered physics-aware neural operators for ultrasound lung aeration mapping
• Advanced open-vocabulary 3D object detection systems

Labs/Teams: Collaborates with Caltech's AI4Health initiative and NVIDIA's research group, contributing to medical imaging advancements through interdisciplinary teams.