I obtained my Bachelors of Science degree in Computer Science from Bloomsburg University, and currently am pursuing my PhD in Computer Science at the University of Rochester. My advisor is Michael L. Scott and my current line of research, as stated here, is focused on leveraging persistent memory to enhance both productivity and performance of fault-tolerant systems in high-performance computing applications. I am a fellow of the Department of Energy’s Computational Science Graduate Fellowship.
I have participated as a student in Google Summer of Code 2017 for Cray’s exascale programming language called ‘Chapel’, where I created the language’s first Distributed Data Structures that enabled Global-View Programming, similar to Chapel’s distributed arrays. I later became a Rails Girls Summer of Code coach for Chapel in 2018 and will now be a Google Summer of Code mentor for Chapel in 2019. I am also a Chapel-specialist and part-time consultant for the Department of Energy’s Pacific Northwest National Laboratory, where I am working on Chapel HyperGraph Library (CHGL) and in collaboration with HyperNetX (HNX).
NSF GRFP Application ~Not Recommended~ (Although very positive)
DoE CSGF Application ~Accepted~