AI/ML Application in Human Aging & Disease
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