Machine Learning Research Intern, Neurosciences Research Program

Working on scalable machine-learning and neuroimaging pipelines across MRI, fMRI, and diffusion MRI data.

Selected Work

• Supported the development and validation of scalable neuroimaging preprocessing workflows across MRI, fMRI, and diffusion MRI
• Integrated deep-learning methods into research pipelines for brain extraction, image correction, and quality-control tasks
• Improved the reliability and throughput of large-scale preprocessing workflows running on shared HPC infrastructure

Skills

• Python
• PyTorch
• MRI / fMRI / Diffusion MRI
• Medical Image Processing
• HPC / SLURM
• Neuroimaging Pipelines