[MS] Recruiting Summer Research Interns: AI for Health (Medical Imaging, LLMs, Synthetic Data)

Dear all,

We are looking for motivated MS students to join our AI for health research projects this summer (May – August), with the goal of producing impactful research publications. This is a great opportunity to gain hands-on experience in interdisciplinary projects at the intersection of AI and healthcare.

We are currently recruiting summer research interns for the following projects:

1. Deep Learning for Medical Imaging in Radiation Oncology

A collaboration with the Department of Radiation Oncology at Keck School of Medicine.

Work includes image segmentation and dose prediction using deep learning.

Requirements: Experience with computer vision research. No medical background needed.

2. Large Language Models for Mental Health Diagnosis and Counseling

Develop trustworthy LLMs for mental health diagnosis and create tools to evaluate AI-supported counseling.

Requirements: Experience with large language models and deep learning. No medical background needed — we work with psychiatrists.

3. Synthetic Medical Data Generation with Foundation Models

Focus on generating high-quality, multimodal synthetic medical data using foundation models.

Requirements: Deep learning research experience. No medical background required.

What you’ll gain:

• Hands-on experience in cutting-edge AI for health

• Opportunities to contribute to impactful research publications

• Collaboration with clinical experts and researchers across disciplines

We are looking for students who:

• Are passionate about applying AI to real-world health challenges

• Have research experience in deep learning, computer vision, or NLP

• Are committed and collaborative

If you’re interested, please fill out this form: https://forms.gle/FhRpLPaDa2BbMHiV7

No separate email is needed; we’ll contact you if it’s a good fit.

Looking forward to working together!

Best,

Ruishan LIu