PhD-trained researcher with 10+ years of experience in advanced imaging, machine learning, and AI.
Data Scientist | Imaging & Healthcare Expert| Python, SQL | AI/ML Researcher
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This project looks at a pricing analysis at a snow ski resort. The project involved data wrangling, exploratory data analysis, feature engineering and modeling using linear regression and Random Forest models
Code on Github
In this study, a fast data-driven optimization algorithm, bias-accelerated subset selection (BASS), was used to generate optimized sampling patterns for data acquisition in MRI brain mapping
Project Details | Full Paper | Code | Link to Publication
In this project 5 compressed sensing algorithms were tested for acceleration factors (2, 5, 10) for their ability to reconstruct quantitative brain maps compared to a fully sampled reference.
Project Details | Full Paper | Code | Link to Publication
The goal of this project was to develop a novel MRI method that allows cardiac patients to breathe freely during an MRI imaging called late gadolinium enhancement. Robust motion correction was achieved by implementing outer volume suppressed projection navigators which was to correct for motion retrospectively.
Project Details | Full Paper | Link to Publication