Machine learning to Uncover Host-Virus Interactions

You are cordially invited to the weekly CS Machine Learning Lunch Meetings. This is a chance to get to know machine learning professors, and talk to your fellow researchers.  Our next meeting will be on Tuesday April 25 12:12-1:30pm in CS 1240. Professor Mark Craven will talk about viruses, see abstract below.

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Insight into the mechanisms and context of host-virus interactions can be gained by applying machine-learning approaches to a wide range of tasks and data sources.  I will discuss our machine-learning work that addresses three key questions: (1) How does a virus exploit a host cell’s machinery to replicate? (2) Which genomic variants in a virus contribute to disease severity in a host?  (3) Which viruses are a high risk for spilling over from animal to human populations?  I will highlight applications of interpretability methods and counterfactual reasoning in these studies.