We often have interesting and challenging data science projects for students.
We develop transparent machine learning algorithms for graph-structured data at the interface between network science and machine learning, and apply them to pressing decision problems in industry. Typical projects aim to automate data-driven decisions at scale or refine and evaluate predictive models.
Most likely, you are a skilled coder in a computer science or engineering physics program with interest in statistichal modeling, data mining, and machine learning.
If you are interested, please contact Martin Rosvall to learn more.