Institution/Organization: University of New Mexico
Department: Computer Science
Academic Status: Undergraduate Student
Biography:
Abigail Pribisova is a junior studying computer science at the University of New Mexico (UNM). Some of her past research has included: helping create a simulation of the COVID-19 virus spreading throughout the lung at the UNM Moses Biological Computation Lab, applying machine learning to anomaly detection, image analysis, and optical engineering problems at Sandia National Laboratories, and analyzing the musical structure of jazz and classical pieces using networks at the Santa Fe Institute. Currently, she is studying abroad at the Technical University Dresden in Dresden, Germany and researching the strengths and weaknesses of various mathematical and computational models of viral spread.
Motivation:
This program is a unique opportunity to directly work with exascale computing (EC) and high-performance (HPC) computing. I have utilized HPC libraries to implement, parallelize, and speed up my own applications, but I have not directly interacted with and properly understood the frameworks and methods that make obtaining my research results fast and easy. With a better understanding of these fundamentals, I hope to write more efficient applications that utilize and interface better with EC and HPC resources.