Morgan Grainger

Computer Science M.S. student at Vanderbilt University studying how learning systems construct recursive effective theories from finite evidence.

I am currently an M.S. student in Computer Science at Vanderbilt University, completing my thesis under the supervision of Soheil Kolouri. My research is in theoretical machine learning, with a particular interest in how learning systems can construct effective theories from finite evidence.

Previously, I was a software engineer at Apple for 17 years, where I had the privilege of working on the core operating system software and user interface for the iPhone and iPad and was a member of the original Apple Watch team. I hold a Bachelor of Mathematics in Computer Science from the University of Waterloo.

Research Interests

My research asks how learning systems can construct recursive effective theories from finite evidence: consequence-relative statistical interfaces, judged against independently specified criteria, that preserve consequential responses, retain a conditional distribution over unresolved detail, and make subsequent learning problems more tractable.