Ali Ghayoor
Co-Founder & CEO at DeepkinetiX
Boston, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolAli Ghayoor is a biotechnology and AI leader with 14+ years of hands-on experience building medical image analysis software and translational biosimulation products, now co-founding DeepkinetiX to advance AI-driven drug development and PK/PD modeling. He pairs a PhD in Electrical and Computer Engineering with deep practical expertise in image registration, segmentation, and high-performance pipelines developed at the University of Iowa and Invicro. A frequent contributor to prominent open-source projects—including ITK, ANTs, and Nipype—he has improved core registration filters, added precision and transform-comparison features, and expanded neuroimaging workflows used by the community. Comfortable bridging client-facing R&D with backend engineering, he has shipped multi-atlas segmentation tools for multi-modality studies and led imaging science efforts supporting clinical and preclinical programs. Based in Boston, he blends academic rigor with startup pragmatism to turn complex biomedical algorithms into robust, production-ready software.
14 years of coding experience
12 years of employment as a software developer
Master's degree, Telecommunications Engineering, Master's degree, Telecommunications Engineering at Iran University of Science and TechnologyBachelor's degree, Electrical, Electronics and Communications Engineering, Bachelor's degree, Electrical, Electronics and Communications Engineering at Isfahan University of TechnologyDoctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at University of Iowa
English, Persian
Github Skills (20)
image-analysis10
c-language10
dataflow-programming10
dataflow10
python10
medical-image-processing10
open-source10
workflow-engine10
image-registration10
fn10
neuroimaging10
itk10
medical-imaging10
cpp10
cprogramming-language10
Programming languages (6)
Github contributions (5)
ANTsX/ANTs
Mar 2013 - Jul 2019
Advanced Normalization Tools (ANTs)
Role in this project:
Back-end Developer
Back-end DeveloperContributions:28 commits, 18 PRs, 2 pushes in 6 years 5 months
Contributions summary:Ali primarily focused on bug fixes and enhancements within the Advanced Normalization Tools (ANTs) library. They addressed issues related to the `CompositeTransformUtil` tool, implementing fixes and adding tests to ensure functionality and consistency with other related projects. Their contributions also involved refactoring and adding new features such as adding single precision computation, and improving the `compareTwoTransforms` program to support comparison of a broader range of transforms. Furthermore, the user updated the code to remain consistent with recent updates of ITK.
antsnormalizationimage-registrationimage-segmentationmedical-image-processing
nipy/nipype
May 2016 - Mar 2021
Workflows and interfaces for neuroimaging packages
Role in this project:Back-end Developer
Back-end DeveloperContributions:4 reviews, 11 commits, 4 PRs in 4 years 10 months
Contributions summary:Ali primarily contributed to the `nipype` repository by adding and modifying interfaces, specifically for the `semtools` and `afni` packages. Their work involved adding input specifications for new command-line tools and features, which included options for DWIConvert and the integration of `afni`'s `NetCorr` tool. The changes demonstrate a focus on expanding the functionality of neuroimaging workflows within the Nipype framework. They also added and modified tests to validate their work.
workflowneuroimagingpythondata-scienceworkflow-engine
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