Edison Sun

Edison Sun

Undergraduate researcher at Northwestern University pursuing a B.S. in Mechanical Engineering, B.A. in Integrated Science, and minor in Computer Science. I specialize in deep learning, medical robotics, and fluids.

Currently developing deep learning workflows for thoracic aorta diameter measurements and providing a descriptive analysis of 73k+ medical scans. Previously built robotic optical coherence tomography systems for glaucoma imaging with feature-based SLAM montaging algorithms.

Technical Expertise

🧠Deep Learning
🩺Medical Imaging
👁️Research
⚙️Robotics
🌊Fluid Dynamics
📐CAD
🔬Finite Element Analysis

Programming Languages

MATLAB, Python, C++, LaTeX, Java, Arduino

Software & Tools

Fusion 360, 3D Slicer, SolidWorks, Blender, LabView, ANSYS Ensight

Research Focus

🫀

Cardiovascular Imaging

CT and MR angiography analysis for thoracic aortic disease surveillance and hemodynamic assessment.

📊

Descriptive Analysis on EDW Cohort

Large-scale retrospective analysis of 73k+ thoracic aortic scans examining utilization patterns and socioeconomic disparities.

🧠

Deep Learning - Thoracic Aorta Measurements

Fully automated AI-driven pipeline for 3D thoracic aorta segmentation and diameter quantification from CTA scans.

Recent Research Highlights

Analyzing 73k+ thoracic aortic CT/MR scans for modality trends and socioeconomic factors.

June 2025 — September 2025

Developing cross-institutional deep learning workflow for thoracic aorta segmentation.

January 2025 — Present

Created robotic OCT system with feature-based montaging for glaucoma imaging.

April 2023 — October 2023

Mentoring students in STEM projects and robotic manipulation.

June 2025 — Present

Awards & Recognition

🏆

Northwestern BME Summer Research Award

2025

🥇

JSHS Outstanding Achievement Award

2024

📜

BMES Poster Competition Honorable Mention

2023

🔬

MathWorks Certified MATLAB Associate

2023