Predictive AI for High-Dimensional Multimodal Health and Biomedicine Data
Columbia University
Eligibility
All Students
Accepts Applications Until
Dec 20, 2025
Project Duration
Flexible
Description
Students will primarily be involved in developing new architectures and improving robustness. In addition you will evaluate these architectures in real health data which may require preprocessing. Typically all of this will be a collaboration with other members in my group. We recommend reaching if you take initiative and have a learn whatever is necessary because of the highly interdisciplinary nature of our projects.
Required Skills
Students with a strong background in ML foundations, and an interest in probabilistic and causal inference, with an interest in making an impact in health and biomedical sciences are encouraged to reach out.
Additional Information
Lab/Building Location: https://reaim-lab.github.io/shalmalijoshi.html
Hours per week: 10+
Please include a 1pg supplement discussing coursework, your interests, availability, and any prior research experience you have.