Portrait
Eleanor Quint
Machine Learning Researcher
PhD, University of Nebraska-Lincoln
About Me

I earned my PhD from the University of Nebraska-Lincoln in December 2025, studying safe and trustworthy reinforcement learning and machine learning, advised by Stephen Scott. My research spans verification, interpretability, generative models, and self-supervised learning, with applications in materials science, chemistry, robotics, computer security, and medicine.

From 2022 to 2025 I was a Research Scientist at Phaidra, applying reinforcement learning to industrial control. I am currently open to new opportunities. Please feel free to reach out about collaboration or my work.

Curriculum Vitae
Education
  • University of Nebraska-Lincoln
    Ph.D. in Computer Science
    Dissertation: Making Deep Neural Networks Trustworthy
    Sep. 2016 - Dec. 2025
  • University of Nebraska-Lincoln
    B.S. in Mathematics and Computer Science
    Sep. 2012 - May 2016
Experience
  • Phaidra Inc.
    Research Scientist
    Jul. 2022 - Jul. 2025
  • NASA Glenn Research Center
    Research Intern
    Summer 2021
  • Microsoft Research
    Research Intern
    Summers 2019, 2020
News
2026
New preprint "Perturb and Correct" is under review at NeurIPS 2026. Read it on arXiv
May 01
2025
Completed my PhD in Computer Science at the University of Nebraska-Lincoln.
Dec 15
Selected Publications (view all )
Perturb and Correct: Post-Hoc Ensembles using Affine Redundancy

Eleanor Quint

Under review at NeurIPS 2026 2026

[arXiv]

Perturb and Correct: Post-Hoc Ensembles using Affine Redundancy

Eleanor Quint

Under review at NeurIPS 2026 2026

[arXiv]

Quantitatively Evaluating the Validity of Contrastive Generators for Recourse

Ian Howell, Eleanor Quint, Hongfeng Yu

IEEE International Conference on Big Data (Big Data) 2023

Quantitatively Evaluating the Validity of Contrastive Generators for Recourse

Ian Howell, Eleanor Quint, Hongfeng Yu

IEEE International Conference on Big Data (Big Data) 2023

Safe Online Exploration with Nonlinear Constraints

Eleanor Quint, Ian Howell, Garrett Wirka, Stephen Scott, Hoang-Dung Tran

NeurIPS Workshop on Safe and Robust Control of Uncertain Systems 2021

[PDF]

Safe Online Exploration with Nonlinear Constraints

Eleanor Quint, Ian Howell, Garrett Wirka, Stephen Scott, Hoang-Dung Tran

NeurIPS Workshop on Safe and Robust Control of Uncertain Systems 2021

[PDF]

Formal Language Constraints for Markov Decision Processes

Eleanor Quint, Dong Xu, Zeynep Hakguder, Haluk Dogan, Stephen Scott, Matthew Dwyer

NeurIPS Workshop on Safety and Robustness in Decision Making 2019

[arXiv]

Formal Language Constraints for Markov Decision Processes

Eleanor Quint, Dong Xu, Zeynep Hakguder, Haluk Dogan, Stephen Scott, Matthew Dwyer

NeurIPS Workshop on Safety and Robustness in Decision Making 2019

[arXiv]

All publications
Patents
Webpage phishing detection using deep reinforcement learning

Eleanor Quint, Jugal Parikh, Mariusz H. Jakubowski, Nitin Kumar Goel, Douglas J. Hines, Cristian Craioveanu

US Patent 11,997,137 B2 · Microsoft Technology Licensing, LLC · Granted 2024

[Google Patents]