Health Intelligence Lab (HAIL)
Our lab works on advancing machine learning and artificial intelligence to drive innovations in healthcare, medicine, and scientific discovery.
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AI for Medicine and Science:
Using AI to accelerate biomedical discovery, generating insights and solutions for complex human diseases.
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Universal Health Intelligence Access:
Making health insights and medical expertise universally accessible to all.
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Example: Foundation models for equitable medicine [Nature Medicine'24b]; AI systems for in-home sleep & vitals sensing [UbiComp'20]; LLM-driven health copilots for actionable insights [arXiv'24].
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Generalist Health Models:
Building general-purpose health models that integrate multimodal data and enable personalized health coaching.
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Example: Generative AI for multimodal sensor data [arXiv'24]; self-supervised pre-training for physiological signals [ICLR'23 oral]; multimodal multitask mobile health [WACV'24].
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Trustworthy Learning Algorithms:
Creating AI models that can be reliably deployed in high-stakes applications like medicine.
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Example: Principled algorithms for reliable ML in real-world settings, from unbiased learning [ICML'21 oral], algorithmic fairness [ICML'23], to out-of-distribution generalization [ECCV'22].
Openings
I am recruiting PhD students for Fall 2025! I am looking for technically strong, motivated students passionate about advancing the frontiers of AI for health and medicine. I'm generally interested in students with strong AI/ML background and care about real-world impact and interdisciplinary work in health/medicine.
PhD students: I am looking for ~3 PhD students for Fall 2025 (application due Dec 2024). I can advise students in either CS or Computational Medicine (CompMed). Please apply through both admissions portals, and I plan to take 1-2 students from each program. While I will try to review all relevant applications, contacting me after submission can help flag your application:
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Email: Once you submit your application, email me with the subject "Prospective PhD student". Include your latest CV, a summary of your research (e.g., projects, publications, and open-source contributions), and a brief note on why you are interested in working with me.
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Faculty Preference: There is a dropdown list in the CS admissions system but my name is not added yet. Please mention me in your Statement of Purpose. I will ensure that your application is reviewed.
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Google Form: You may also register your information through this Google Form. I will make sure to review these submissions during the application process.
Admitted UCLA PhD students: If you have already been admitted and are looking for potential advisors, please email me directly.
Postdocs: We have postdoc openings and welcome applications from recent or soon-to-be PhD graduates in computer science, AI, biomedical informatics, computational medicine, or related fields. Please email me directly with your CV (subject: "Prospective Postdoc").
Interns / RAs: I'm also looking for self-motivated interns to join at any time. Please email me directly with your CV (subject: "Prospective Intern") and fill out this form.
