Ahmed Yassin

-Developed deep learning models for sparse 3D medical point clouds from intraoperative scans. -Designed a multimodal transformer-based autoencoder for anatomical surface completion. -Combined geometric and contextual cues to enhance accuracy in organ reconstruction. -Collaborated with clinicians and AR/VR teams to ensure clinical relevance and integration into immersive surgical planning tools. -Contributed to a publication currently under review at Nature Medicine.