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The following announcement is from [CS Assistant Professor Ruishan Liu]. Please contact them directly if you have any questions.
Dear all,
We are looking for motivated MS/UG students to join our AI for health research projects this summer (starting as early as April is preferred), 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 voluntary summer research interns for the following projects:
1. AI for Designing Clinical Trials for Medical LLMs
Develop AI methods and tools to design clinical trial frameworks for evaluating medical LLMs.
Requirements: Experience with LLMs and deep learning. No medical background needed.
2. LLMs for Mental Health Diagnosis and Counseling
Develop trustworthy LLMs for mental health diagnosis and AI-supported counseling.
Requirements: Experience with LLMs and deep learning. No medical background needed.
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.
4. AI 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.
What you’ll gain:
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Hands-on experience in cutting-edge AI for health
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Opportunities to contribute to impactful research publications
We are looking for students who:
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Are passionate about applying AI to real-world health challenges
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Have research experience in deep learning, computer vision, or NLP
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Are committed and collaborative
If you’re interested, please fill out this form: https://forms.gle/kNzxHABRKGy7Atwi6
No separate email is needed; we’ll contact you if it’s a good fit.
Looking forward to working together!
Best,
Ruishan Liu
Published on March 27th, 2026Last updated on March 30th, 2026