Jay Revolinsky’s Academic Homepage

I am a third-year PhD student in Computer Science and Engineering at Michigan State University. I am advised by Dr. Jiliang Tang within the DSE Lab. Before joining MSU, I received my M.S in Computer Science at CSU - Chico and my B.S. in Computer Science at Cal Poly - Humboldt. My work has been published at KDD with current (anonymous) submissions under review at 4 separate conferences. I am the recipient of the MSU Engineering Distinguished Fellowship and the NSF WaterCube NRT Traineeship.

My research is focused on data mining and machine learning. My main research is interested with machine learning on graphs. My current work is focused on applications of graph generation for out-of-distribution problems and other yet undisclosed tasks. I am also assisting with applications of graph representation learning for disaster-mitigation policy and agriculture.