Anthony Gatti
Instructor at Stanford University School of Medicine
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolAnthony Gatti is an instructor and entrepreneur who builds AI-driven medical imaging tools that bridge biomechanics, physiology, and machine learning to accelerate translation from prototype to bedside. With a PhD in Rehabilitation Science and a decade of experience at institutions including Stanford Medicine, he has led projects across modalities from ultrasound to MRI and disease areas from osteoarthritis to lung cancer staging. He co-founded NeuralSeg and NodeAI to commercialize fast, clinically focused segmentation and multimodal imaging solutions, and serves as Associate Editor for Radiology: Artificial Intelligence. His research emphasizes clinically relevant models like Digital Twins and practical deployment concerns including device integration and regulatory strategy. An active open-source contributor, he has improved point-cloud registration implementations (pycpd), reflecting a hands-on approach to algorithmic detail as well as clinical impact.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD Rehabilitation Science, Doctor of Philosophy - PhD Rehabilitation Science at McMaster UniversityHighschool, Highschool at Cardinal Newman
Github Skills (10)
algorithm10
data-structures10
algorithms10
python10
data-structure10
numpy10
registers9
registrator9
registrar9
machine-learning8
Programming languages (10)
Github contributions (5)
siavashk/pycpd
Feb 2019 - Dec 2022
Role in this project:
Data Scientist
Data ScientistContributions:1 release, 88 commits, 37 PRs in 3 years 10 months
Contributions summary:Anthony primarily contributed to the development and improvement of the Coherent Point Drift (CPD) algorithm, a point cloud registration technique, implemented in Python. They addressed a crucial bug in the Gaussian kernel calculation and corrected a default value, likely to refine the accuracy of the registration process. Furthermore, they added functionality to leverage low-rank methods and extended the transformation capabilities to allow for the transformation of subsets of the original point cloud.
coherentpythonsplinesnumpyfenics
gattia/DOSMA
Nov 2021 - Mar 2025
Contributions:41 pushes, 5 branches in 3 years 5 months
ai-poweredpythonimage-analysismedical-imagedeep-learning
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