Research Highlights
I'm interested in how images reveal 3D geometry, from depth and scene structure to relationships across views. I want to understand how information from other modalities can complement that visual understanding.

Research / 2026
VGGT-Prime
Compute-Adaptive Mixture-of-Heads for Efficient Visual Geometry Transformers
Abteen Arab et al. · 2026
Compute-adaptive attention for efficient visual geometry. VGGT-Prime routes attention heads between different computation modes to reduce the cost of reconstruction while maintaining competitive quality.
I'm interested in how visual observations become representations of a world or environment that changes over time. I want to explore how vision and other modalities contribute to those representations.
I'm interested in how visual and spatial understanding inform actions and respond to interaction. I want to explore the connections between what a system sees, how it moves, and the other signals it receives.
I'm interested in combining visual learning with clinical measurements and complementary medical data. I want to understand what images and other forms of medical data reveal when considered together.

Research / 2026
AC-MIL
Context Matters: Anatomy-Aware Dual-Stream Multiple Instance Learning Framework for eGFR Prediction
Abteen Arab et al. · 2026
An anatomy-aware framework for predicting kidney function from whole-slide images. Separate glomerular and non-glomerular tissue streams are combined through bidirectional gating to predict estimated glomerular filtration rate (eGFR).