Internships aren't handed out. They're earned.
Two students, two paths. Both started with projects.
Normal (top) vs. pneumonia (bottom): the chest X-ray data he worked with.
One research direction.
Sean
From physics to AI research in biotech.
Physics at NUS. No AI background.
7 projects across finance, NLP, computer vision and biotech.
AI + biotech. In a medical-imaging project, he found that simple data augmentation beat CycleGAN for pneumonia detection.
Read the projectAI researcher, Osaka University.
CJ
From computer science to health-tech AI.
A retina scan (left) and the blood vessels her model traced from it (right).
One health-tech internship.
First-year computer science at NUS.
5 projects, plus two weeks on site in Cambridge.
Medical imaging. She built retinal vessel segmentation models that work with limited data.
Remote intern at a Boston health-tech startup, building computer-vision models for camera-based health monitoring.
The startup reviewed shortlisted profiles and chose her.
Your path starts with one project.
Labs and companies decide who they take. What you bring is work they can see.
Under a minute · Nothing to sign up for
Company names identify the industry context of project work.
Under a minute · Nothing to sign up for
