Last day to apply for Fall admissioms: October 15, 2026. Sign up for information session.

High School Student Researcher Lucas on Machine Learning Bias in Brain Tumor MRI Analysis

Lucas Sohn is a student at Langley High School in the United States. He received the FBI-LEEDA Youth Leadership Program Leadership Scholarship. In addition, he serves as a Cadet Airman First Class in the Civil Air Patrol William P. Knight Composite Squadron.

Beyond these roles, Lucas is a member of his church’s YUGO Mexico Missions Team. He also participates in his school’s Computer Science Honors Society.

Researching Bias in Brain Tumor MRI Classification

At CCIR Academy, Lucas explored machine learning and medical imaging. His research paper is titled The Impact of Rotation and Brightness Augmentation on Class-Level Bias in Brain Tumor MRI Classification.

The study examines how image augmentation techniques affect MRI classification. Specifically, Lucas investigates rotation and brightness adjustments. He explores their effects on bias and classification performance across different brain tumor classes.

Improving Fairness in Medical Imaging Models

Lucas also examines whether these techniques can improve model accuracy and fairness. Furthermore, his research explores how image augmentation can help make machine learning models more reliable.

These findings may contribute to better approaches to medical image classification.

Sharing His CCIR Academy Research Journey

Lucas shared his research experience in a CCIR Academy Student Spotlight episode. During the episode, he discussed the guidance he received from his mentor.

He also reflected on the insights he gained throughout the research process. Overall, his experience highlights his interests in computer science, medical technology, and leadership.

Ready to Explore Research in Artificial Intelligence and Medical Imaging?

Turn your interests in artificial intelligence, computer science, and medical imaging into an original research project with guidance from experienced professor mentors at CCIR Academy.

Download the CCIR Research Programme Prospectus to explore our 170+ research areas. You can also learn about our professor mentors from leading universities and discover our Cambridge Future Scholar and 1-on-1 Research Mentorship programmes, student outcomes, and application process.

Share:

Facebook
Twitter
Pinterest
LinkedIn
Picture of Cambridge CCIR
Cambridge CCIR
Table of Contents