Layla developed a chest CT agent by building preprocessing pipelines, segmenting organs, and diagnosing abnormalities like cardiomegaly using machine learning models. She combined her MIT foundation in machine learning with practical expertise in how 3D CT volumes differ from traditional images, mastering tools like Total Segmentator and embedding models. Beyond technical growth, she learned the importance of balance and connection in the workplace, stepping back from intense project focus to build meaningful relationships with her team. Her experience solidified her passion for AI in healthcare and her commitment to using technology to save lives.
Layla's Story
Layla Thiessen interned at Rology, where she worked on AI-assisted chest CT analysis and abnormality detection. She built preprocessing pipelines, implemented organ segmentation, and used embedding models to help identify conditions like cardiomegaly, applying her MIT machine learning background to practical diagnostic imaging.
“Working abroad gave me an experience that I don't think I could have had if I stayed at MIT or worked in the U.S. It wasn't just about the research. It was about learning how to live and work in a completely different environment. I had to adapt to a new culture, a different workplace, and a different daily routine while still contributing to my project."Layla Thiessen, '28
Major & Class Year
Artificial Intelligence and Decision Making, 2028
Internship Host
Rology
Location
Cairo, Egypt
MISTI Program
MISTI Arab World Internship