Abigail Pribisova

Abigail Pribisova

Education

Max Planck Institute for Software Systems

2024 - Present

Saarbrücken, Germany

CS@max planck doctoral program

University of Cambridge

2023 - 2024

Cambridge, UK

Master of Philosophy in Advanced Computer Science

Thesis Title: "Categorical Automata Theory"

University of New Mexico

2019 - 2023

Albuquerque, NM, USA

Bachelor of Science in Computer Science, summa cum laude

Technische Universität Dresden

2021 - 2022

Dresden, Germany

Study Abroad: Fall 2021 - Spring 2022

Internship Experience

UNM Moses Biological Computation Lab

August 2018 - May 2023

Undergraduate Intern

Albuquerque, NM, USA

  • Created an ordinary differential equation model (built using the Python package scipy) to compare with a spatial agent-based model in representing the spread of the SARS-CoV-19 virus and the reaction of immune cells in the lungs.
  • Modified robot drop-off behavior using Robot Operating System in C++ and ran tests incorporating TensorFlow convolutional neural networks into physical robots for object classification in dynamic foraging scenarios for the "Swarmathon: The Next Generation" workshop.

Sandia National Laboratories - Applied Machine Intelligence R&D Group

June 2020 - August 2021

Undergraduate Intern

Albuquerque, NM, USA

  • Realized six different machine learning classifiers from scikit-learn for multi-label, multi-class classification, achieving above 95% accuracy for decision trees and fully-connected networks in identifying the port and optical device that produced a given optical spectrum.
  • Tuned an auto-regressive generative model using TensorFlow and Keras for anomaly detection in high-resolution industrial components with background noise, achieving 70-80% accuracy.

Work Experience

UNM Computer Science Department

January 2020 - December 2020

Course Grader & Lab Instructor

Albuquerque, NM, USA

  • Responsible for teaching weekly lab sections covering Python and MATLAB fundamentals and holding office hours to individually assist students.

Publications

Andrici C., Pribisova A., ... Winterhalter, T. (2026). Misquoted No More: Securely Extracting F* Programs with IO. Under Submission. https://arxiv.org/abs/2602.19973

Sarma R., Pribisova A., ... Briscoe, J. (2022). Classification of Intensity Distributions of Transmission Eigenchannels of Disordered Nanophotonic Structures Using Machine Learning. Applied Sciences, 12(13), 6642. https://doi.org/10.3390/app12136642

Moses, ME., Hofmeyr, S., Cannon, JL., Andrews, A., Gridley, R., Hinga, M., Leyba, K., Pribisova, A., ... & Forrest, S. (2021). Spatially distributed infection increases viral load in a computational model of SARS-CoV-2 lung infection. PLoS Computational Biology, 17(12), e1009735. https://doi.org/10.1371/journal.pcbi.1009735

Sarma, R., Goldflam, M., Donahue, E., Pribisova, A., ... & Briscoe, J. (2021). Artificial Intelligence Assisted Optimization and Prediction of Absorption of Metasurfaces for Hot-Electron Generation. Conference on Lasers and Electro-Optics, JTu3A.106. https://opg.optica.org/abstract.cfm?URI=CLEO_SI-2021-JTu3A.106

Sarma, R., Goldflam, M., Donahue, E., Pribisova, A., ... & Briscoe, J. (2020). Optimization and Prediction of Spectral Response of Metasurfaces Using Artificial Intelligence. Crystals, 10(12), 1114. https://doi.org/10.3390/cryst10121114

Potter, KM., Donohoe, B., Greene, B., Pribisova, A., & Donahue, E. (2020). Automatic detection of defects in high reliability as-built parts using x-ray CT. Proceedings Society of Photo-Optical Instrumentation Engineers (SPIE) 11511, Applications of Machine Learning 2020, 115110O. https://doi.org/10.1117/12.2570459

Scholarships and Awards

Volunteer Experience

MPI-SWS Girl's Day

April 2025

Presenter

Saarbrücken, Germany

  • Gave a presentation about what it means to be a female student researcher and helped facilitate activities for a group of 20 middle school-aged girls during the planned "Girl's Day" at MPI-SWS.