Resume

EDUCATION

University of Delaware

Working Towards MS in Data Science & PhD in Applied Mathematics

Michigan Technological University

B.S. in Civil Engineering & B.S. in Applied Mathematics | GPA: 3.97

SKILLS: 

Advanced: Python, Git, Google Suite, Public Speaking, Technical Writing

Proficient: Matlab, Wolfram Mathematica, Julia,  Linux, LaTeX, Microsoft Office

ACCOLADES 

  • First place in the 2020 Airport Cooperative Research Program’s University Design Competition in the Runway Safety/Runway Incursions/Runway Excursions Category

  • Awarded 2021 Airport Cooperative Research Program’s Next Steps Grant

  • Awarded 2022 Charles Knobloch Award, 2021 Mathematics Achievement Award, and 2020 Woman of Promise Award by the MTU Mathematical Sciences Department

  • Certificates of Merit from the MTU Mathematical Sciences Department in 7 courses

    • MA3160 (Multivariable Calculus), MA2320 (Intro to Linear Algebra), MA3560 (Differential Equations w/ Modeling), MA3310 (Intro to Abstract Algebra), MA2600 ( Scientific Computing), MA4515 (Intro to Partial Differential Equations), & MA4410 (Complex Functions)


EXPERIENCE

POST-BACHELORS STUDENT IN COMPUTATIONAL PHYSICS (Oct. 2022 - May 2024)

Los Alamos National Laboratory [LANL] (Los Alamos, NM)

  • Implemented neural network sensitivity measures to analyze image-to-scalar regression models, with both python’s Tensorflow/Keras and Pytorch packages

  • Developed and published python module to GitHub, including documentation and unit testing

  • Implemented and trained Vision Transformer machine learning models for image-to-scalar regression

  • Developed Vision Transformer tutorials and published on GitHub and in the Towards Data Science blog

  • Presented machine learning research in talks and posters at conferences on Data Science, VVUQ, and High-Performance Computing

COMPUTATIONAL RESEARCH METHODS STUDENT (Feb. - Apr. 2023)

The Computational Research Access NEtwork [CRANE] (Virtual Seminar - https://www.cranephysics.org/)

  • Completed five-week unit on implementing numerical methods in python, including Runge-Kutta, 1D finite difference, and fast fourier transforms

  • Completed three-week unit on Monte-Carlo methods, which included implementing MC methods in python to simulate casino games and neutron transport

  • Completed four-week unit on signal and image processing, which included writing python code to analyze Langmuir probe and plasma interferometer data

DIRECTOR’S SUMMER PROGRAM [DSP] (May-Aug. 2021, seasonal position)

National Security Agency [NSA] (Fort Meade, MD)

  • One of 21 participants chosen from 240 applicants nationwide

  • Learned about convolutional neural networks and implemented and trained them for novel classification tasks, developing unique code in Python

  • Analyzed data from neural network classifiers to improve their performance

  • Read unclassified and classified academic literature in unfamiliar subjects to gain understanding and apply the knowledge to my research project

  • Prepared and delivered briefing to the Director of the National Security Agency on cryptanalytic techniques and results as a result of my research project

SECRETARY & FOUNDING MEMBER OF THE BUILT WORLD ENTERPRISE [BWE] (Jan. 2019-Dec. 2021)

Michigan Technological University [MTU]'s Enterprise Program (Houghton, MI)

  • Researched civil aviation surface safety, with a focus in human factors, saliency, and situational awareness

  • Produced technical writing to describe research practices and results, to persuade for the implementation of innovative solutions, and to apply for external funding

  • Communicated with aviation and human factors industry professionals to gain interdisciplinary feedback

  • Lead workshops for undergraduate and graduate students on Reader Expectation Theory as a way to advance their technical writing

Photo Credit: Griffin Abbott