Amirreza Sedaghat
About Me
Meet an accomplished data scientist and machine learning enthusiast! With a background in Biomedical Engineering and extensive experience in Python, C/C++, and cloud platforms, they excel in statistical modeling, clustering, and classification. Their passion for sustainable development and expertise in data analysis make them a valuable asset to any team.
Education
Columbia University
Sharif University of Technology
Work & Experience
Staff Officer of Research
The Taub Institute
• Utilized machine learning tools for automatic brain lesion segmentation • Performed statistical analysis on functional MRI scans
Research Engineer (Internship)
Weill Cornell Medicine
• Machine learning approaches implemented to classify brain tissues and estimate structural parameters • Implemented parallel programming to speed-up the simulation of high-dimensional data
Graduate Research Assistant
Columbia University
• Built an algorithm with the ability to extract weak responses from a brain network known as default mode network • Used unsupervised clustering ML algorithm to identify natural sub-networks in the brain • Tested algorithms on realistic data and re-evaluated using boot-strap statistical methods
