Employment History
| RESEARCH ASSISTANT |
Clemson University |
08/2019 - Present |
Mentor: Jon C Calhoun |
While achieving my MS and PhD, I am working on research at Clemson University under Dr. Calhoun as my advisor. I have researched various topics under data reduction, focusing on lossy compression and data sampling. I have also analyzed the cost of doing such operations, including the power consumption and throughput of different data reduction methods, including their serial and parallelized versions.
For more details, look under the "Research" tab.
The Data Science at Scale School was created to introduce outstanding students to the lab to participate in research topics relevant to the overall mission at Los Alamos National Laboratory, with a focus on visualization and big data analysis. This internship gives students the opportunity to conduct research with Los Alamos scientists in independent research topics, that can also contribute to the student's own thesis or degree. As a part of the 2021 Summer School, I worked with my mentor to develop a sampling algorithm for the Nyx cosmological simulation. At the end of the summer experience, I presented my research findings and results at the Student Symposium.
For more details, look under the "Research" tab.
As a part of the 2020 Data Science Summer School at LANL, I partcipated in the Los Alamos Summer Fellowship virtually. This Fellowship gives students the opportunity to conduct research with Los Alamos scientists in independent research topics, that can also contribute to the student's own thesis or degree. During this time, I worked with my mentor to investigate the development and implementation of algorithms that combine sophisticated spatial and temporal sampling for in situ data reduction. At the end of the summer experience, I presented my research findings and results at the Student Symposium.
For more details, look under the "Research" tab.
I was hired as a research assistant to work with Dr. William Jones' research collaborations with LANL. This work had a primary focus on data analytics for HPC resilience, exposing me to tools including R, Python, ElasticSearch, and Apache Spark. My first year of research used capabilities from ElasticSearch and our own methods to develop a means to match source code lines with messages written to various HPC system logs. This research led me to an invitation for a summer internship at LANL in 2018, which resulted in a scholarly publication at the 2018 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW).
The second year of research dealt with using Apache Spark and Python to ingest and filter events from multiple different logs to assist in the understanding of a HPC machine's health. This research resulted in another summer internship at LANL and a presentation at Supercomputing 2019.
For more details, look under the "Research" tab.
MALWARE ANALYST | Wetstone Technologies | Myrtle Beach, SC | Aug. 2016 - July 2017
* Researched various types of malware and obtained samples or MD5 hashes to include in a repository.
* Located potentially malicious applications, examined their contents, then added samples to a database.
* Automated processes of taking apart malware to prevent duplicates of malware in the repository.
* Disassembled various tools such as keyloggers, toolkits, and spyware to determine their uniqueness.
HONORS FELLOW | CCU Dept. of Honors | Conway, SC | Aug. 2015 - May 2019
* Organized orientation activities, attended mentoring classes, completed research.
* Assisted students in problem solving and explained concepts to students.
COMPUTER SCIENCE TUTOR | CCU Dept. of Science | Conway, SC | Aug. 2016 - May 2017
* Assisted students with gaining a better understanding of various Computer Science related material.
COMPUTER SCIENCE TEACHING ASSISTANT | CCU Dept. of Science | Conway, SC | 2017
* Assisted students with coding in Java.
* Graded assignments dealing with Java programs.