Computer Science, Donald Bren School of ICS · Anatomy & Neurobiology, School of Medicine
Researcher in geometric processing, computer vision, and deformable image registration for biomedical and neuroscience imaging.
I am an academic researcher developing geometric and numerical algorithms for biomedical and neural visual data — from mouse-brain registration to dynamic cardiac reconstruction.
I work with Prof. Gopi Meenakshisundaram and Prof. Xiangmin Xu in the Xu Lab on the synchronization, registration, and visualization of multimodal mouse brain models.
Identifies enhancer AAV vectors that selectively target brain endothelial cells, enabling precise vascular gene delivery in the mouse brain.
A 3D Laplacian interpolation framework that injects geometric feature priors into any registration pipeline to improve mouse-brain alignment.
Gallery of AAV enhancer sequences for targeted gene delivery.
A 3D Laplacian interpolation framework using geometric feature priors for mouse brain image registration. It complements any registration pipeline.
An optimization procedure that adjusts any DVF to eliminate local folding artifacts with minimal deviation from the input field.
Repository coming soon.
An implicit function representation for dynamic cardiac data, enabling 3D and 4D reconstruction and ejection fraction estimation.
My dissertation, Geometric and Numerical Algorithms for Biomedical and Neural Visual Data Processing, has been made available at ProQuest.
Completed my Ph.D. defense at UC Irvine.
Our paper on brain endothelial cell targeting has been published in Neuron.
Our RegBoost paper has been published in NeuroImage.
Email: [enable email]
Web:
ics.uci.edu/~athai5
By appointment. Falling Leaves Foundation Medical Innovation Building, or Donald Bren Hall.