I am a Senior Solutions Architect at NVIDIA focusing on higher education and research institutions. My current work focuses heavily on accelerating and optimizing research workloads with CUDAX libraries, and often just pushing as many tokens through silicon as possible. This work spans labs at universities such as Harvard, MIT, Princeton, CMU, UPenn, and others.

Prior to this I researched for four years at the High Performance Computing and Graph Analytics Laboratory at RPI in Troy NY before obtaining my PhD in 2023. During this time I worked with the Department of Energy and Sandia National Labs as well as with many notable researchers from the fields of high performance computing, network science, and machine learning to create efficient primitives for large-scale graph analysis. I have publications across SIAM and Nature journals, as well as conference submissions at SIAM, Complex Networks, and AAAI.

Beyond this I have too many hobbies to keep up with. My wife and I are fixing up our 1800s Victorian piece-by-piece which takes up much of this time, but I also paint miniatures, am working on a small video game, watch awful movies, and like to read about politics to stress myself out.