AI/ML Application in Human Aging & Disease
LABS @ Columbia University
Eligibility
All Students
Accepts Applications Until
Mar 31, 2026
Project Duration
Academic Year
Description
LABS's interests are in developing and applying statistical, machine learning, and artificial intelligence (ML/AI) methodologies to “big data” in multi-omics and medical data for aging and diseases such as Alzheimer’s disease. We emphasize utilizing advanced ML/AI techniques and multi-omics data, including MRI, genetics, transcriptomics, and proteomics, to solve clinically relevant problems for precision medicine.
The applicant will learn to process medical imaging data (e.g., brain MRI) using AI/ML and related computational tools for this project. All relevant directions can be pursued based on discussions, interests, and expertise.
Required Skills
Ongoing degree in any quantitative science, preferably: Computer Science, Electrical and Computer Engineering, Biomedical Engineering, Applied Mathematics, and Neuroscience.
Working knowledge of programming, including Linux, Python, and R.
Background knowledge in neuroimaging, machine learning, and/or genomics/genetics are encouraged.
Excellent communication and writing skills are required.
Additional Information
Students at all levels are welcome to apply: Postdoc, PhD students, and volunteer (Undergraduate & Masters) positions