Ali Hatamizadeh
Senior Research Scientist at NVIDIA
California, United States
Summary
🤩
Rockstar🎓
Top SchoolAli Hatamizadeh is a Senior Research Scientist at NVIDIA with a PhD and MS in Computer Science from UCLA and eight years of experience building deep learning and computer vision systems. His work blends academic rigor with practical impact, notably collaborating with UCLA’s Stein Eye Institute to integrate AI into ophthalmology workflows. An active contributor to MONAI, he has implemented and optimized cutting-edge architectures like UNETR and Swin UNETR for medical image segmentation and classification across public challenges and tutorials. Recognized early for academic excellence with UCLA’s Edward K. Rice award, he focuses on translating research prototypes into robust healthcare imaging tools. Based in California, he brings both research leadership and hands-on engineering to large-scale perception problems.
8 years of coding experience
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of California, Los Angeles
Github Skills (14)
vi10
transformers10
computer-vision10
pytorch10
deep-learning10
python10
ai10
medical-image-segmentation10
medical-image-processing10
medical-image-analysis9
machine-learning9
jupyter-notebook9
pytorch-lightning8
mlops4
Programming languages (5)
Github contributions (5)
Project-MONAI/research-contributions
Jul 2021 - Jun 2022
Implementations of recent research prototypes/demonstrations using MONAI.
Role in this project:
ML Engineer
ML EngineerContributions:5 reviews, 24 commits, 9 PRs in 11 months
Contributions summary:Ali implemented and added a UNETR model for 3D multi-organ segmentation using the BTCV challenge dataset. This involved creating a tutorial demonstrating the UNETR architecture, relevant transforms, and training workflow. The user also contributed to an epoch-based repository for UNETR and updated the existing repository with enhancements and further code modifications.
implementationsmonai-componentsmachine-learningprototypesmonai
Project-MONAI/tutorials
Jul 2021 - Jun 2022
MONAI Tutorials
Role in this project:ML Engineer
ML EngineerContributions:8 reviews, 8 commits, 11 PRs in 11 months
Contributions summary:Ali contributed several tutorials related to medical image segmentation using MONAI and PyTorch, specifically focusing on the UNETR and Swin UNETR models. Their work involved implementing these models for the BTCV dataset, as well as adapting the UNETR model for PyTorch Lightning. The user also created a tutorial showcasing the TransCheX model for chest X-ray multi-label classification and a tutorial using the Swin UNETR model on the BraTS 21 dataset.
pytorchmonai-tutorialsdeep-learningjupyter-notebookmonai
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