Garrett studied experimental mathematics at Temple University, where he focused on novel GPU computations, particularly eigensystems of certain random graph families. Garrett then worked in industry developing peta-scale distributed systems for production use in telecom and quantitative finance. Over the years he has worked in HPC roles supporting the Princeton scientific community at GFDL and PPPL. Currently Garrett is working with the Program in Applied and Computational Mathematics developing the ASPIRE-Python package for CryoEM image reconstruction.