Hoda Rajaei is a Senior Machine Learning Scientist with a decade of experience applying deep learning and classical ML to medical imaging, neuroimaging, and applied vision tasks. She has driven research and production work at MIT and BeyondAI—building CNN-based segmentation and classification models, curating large UK Biobank datasets, and contributing to neuroimaging toolboxes like Nobrainer. Her background spans EEG-based connectivity research from her PhD to uncertainty-aware Bayesian networks and generative models, bridging academic rigor with product-focused engineering. At Caltech she extended that expertise into autonomous perception, and her work on uncertainty quantification and action recognition shows a practical bent for safety-critical systems. A collaborative, multicultural researcher, she has helped secure and execute multi-million-dollar funded projects while mentoring cross-functional teams. She combines instrumentation and biomedical-signal roots with modern ML tooling, making her especially adept at translating noisy physiological data into reliable models.
10 years of coding experience
9 years of employment as a software developer
Master’s Degree, Automation & Instrumentation, Master’s Degree, Automation & Instrumentation at Shiraz University
Bachelore of science, Electrical engineering, Bachelore of science, Electrical engineering at Shahid bahonar university of kerman
Doctor of Philosophy (Ph.D.), Biomedical Signal Processing, Doctor of Philosophy (Ph.D.), Biomedical Signal Processing at Florida International University
A Python CLI to execute a collection of deep learning models for brain imaging.
Contributions:5 reviews, 142 commits, 30 PRs in 1 year 3 months
pytorchbrainpythondeep-learningpython-cli
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Hoda Rajaei - Senior Machine Learning Scientist at BeyondAI