Edison Sun
Mechanical Engineering student at Northwestern University pursuing a B.S. in Mechanical Engineering and minor in Computer Science. I'm passionate about fusing applied mathematics with mechanical design, robotics, and machine learning to solve real-world engineering challenges that demand creativity, innovation, and practical problem-solving.
Currently developing deep learning workflows for thoracic aorta diameter measurements and providing a descriptive analysis of 73k+ medical scans, while also working on Formula SAE racing vehicle design and development. Previously built robotic optical coherence tomography systems for glaucoma imaging with feature-based SLAM montaging algorithms.
Deep learning AI for aortic diameter measurement and segmentation
CE-MRA pipeline across 73k+ exams: 3D vessel segmentation, centerline tracing, orthogonal diameter sampling, and automated QA with cohort-scale analytics.
Robotic OCT for glaucoma imaging with SLAM montaging
End-effector OCT with visual servoing and feature-based SLAM for wide-field retinal mosaics; real-time pose estimation, overlap-aware path planning, and drift correction.
EDW cohort statistical correlation analysis
Linkage of EDW clinical variables with imaging-derived phenotypes; Pearson/Spearman association testing, stratification by demographics/comorbidity, and multiple-testing control.
Featured Projects
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Northwestern Formula Racing 2025-2026
Aerodynamics • CAD • CFD • Mechanical Design • Racing
Design and development of aerodynamic and mechanical systems for Northwestern University's Formula SAE race car.
MATE ROV
Electronics • Robotics • CAD • 3D Printing
A remotely operated underwater vehicle (ROV) project to complete tasks in the MATE ROV Ranger class.