top of page
TEAM
Causal Inference for IoT
Craig Corsi
The goal of this project is to combine recent results from applied abstract algebra with causal discovery algorithms, implementing models that can identify structural correlations between the features determined to be most relevant. We are generally interested in data collected from IoT or other external devices which record several numerical features from an item or location but may not be able to classify it directly. We would also like to develop an interactive visualizer that can display the structures predicted by the model. Feel free to message me (Craig Corsi) on Slack for more information. Expertise in combinatorics or representation theory will be especially helpful but not necessary.
bottom of page