[UG] UG Summer Research Opportunity – AI for Health

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: coursework or research experience in computer vision. 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: coursework or experience in NLP, large language models, or 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: coursework or experience in deep learning. No medical background required.

Note: We are a part of the USC Undergraduate Research Associates Program (URAP) 2025–2026. If the summer collaboration goes well, selected students will have the opportunity to continue in our lab under URAP during the academic year.

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