Mark Heimann

Mark Heimann

I am a researcher in the Center for Applied Scientific Computing at Lawrence Livermore National Laboratory. In 2020, I received my PhD in computer science from the University of Michigan, where I was a member of the GEMS Lab and advised by Danai Koutra. During my PhD I also completed internships at the Information Sciences Institute, Adobe Research and Oak Ridge National Laboratory. I completed my undergraduate degree at Washington University in St. Louis in 2015.

My research is in machine learning for graph or network-structured data. You can read more about my PhD work using node and graph level embeddings in technical detail in my dissertation, or more quickly consult a conceptual confectionary conspectus in the dessertation I made to celebrate my dissertation defense:) At Lawrence Livermore National Laboratory, I have worked on new graph neural network methods and applications to molecular modeling, scientific image segmentation, and software analysis. More recently, I have also begun working on research in foundation models and their applications to problems in biomedicine and materials science.

Publications

*Equal contribution