Internship 2
Host name: Shalmali Joshi
School and Department: Department of Biomedical Informatics at Columbia University Irving Medical Center
Number of interns to be hosted: 1 (one)
Types of support offered:
- Stipend amount: As designated by requirements for visitors to Columbia University.
- Access to campus and facilities: You will have access to desk space at DBMI, access to Shalmali Joshi's lab servers and compute resources to conduct your research, and data as required by the internship.
- Typically, J1-visa assistance is provided. Columbia ISSO (International Students and Scholars Office) and the Department of Biomedical Informatics will coordinate with the visiting intern for visa assistance.
Internship title: Towards multimodal foundation models in health
Internship description: The reAIM lab develops new multimodal deep learning architectures that are reliable, robust, and generalizable. As an intern in the lab, you will contribute to combining biological and clinical health data to obtain new insights into mental health. This work requires strong methodological foundations in probabilistic modeling, deep learning, and the ability to think critically about robustness, as well as a strong interest in making methodological advances towards high-impact health applications. Typically, every collaboration in the lab involves a clinical or medical researcher.
Skills required:
- Strong Machine Learning methodological foundations -- probabilistic deep learning, deep learning architectures, etc.
- Knowledge of causal inference is a big plus
- Computational background in programming, specifically deep learning packages such as PyTorch, JAX
- Interest in health and medicine is a plus but not required. However, interest in learning new things is necessary.
Additional information: N/A