Internship 5
Host name: Sanket Rane
School and Department: Irving Institute for Cancer Dynamics
Internship title: Inegrating deep learning and Bayesian inference for trajectory inference
Number of interns to be hosted: 1 (one)
Types of support offered:
- Stipend: $14,000 over the duration of the internship
- Access to Columbia University campus services, computational resources, and lab meetings
- Mentorship and supervision by faculty and senior lab members
- Immigration and Visa assistance through Columbia’s International Students and Scholars Office (ISSO)
Internship description
The project aims to identify cellular programs driving metastasis using cell line models of breast cancer. The intern will build and leverage computational methods to integrate transcriptomic datasets from genetic and chemical perturbation screens, analyze perturbation responses, and build new machine learning tools to infer regulatory mechanisms underlying metastatic progression.
Skills required
Probability, Bayesian inference, High-dimensional data analysis, Programming in python. Expertise in stochastic calculus or natural language processing is preferred.