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Project 34: Machine Learning and Dynamical Systems for Causal Discovery

Suitable Majors

Applied Mathematics, Computer Science, Molecular Biology

Research Area

Computer Science, Bioscience, Applied Mathematics​​

Internship Description

Develop and validate new causal discovery algorithms​.
Methodology: ​Mathematical modeling, neural networks, and data analysis​​

Prerequisites

​Working knowledge of undergraduate math and some coding experience

Deliverables/Expectations

Algorithms encoded in suitable language

Other Comments

Internship dates: 19 May to 26 July or 7 July to 14 September​

Division

Biological and Environmental Sciences and Engineering

Faculty Name

Jesper Tegner