Curriculum Vitae

Kyle Moore – PDF

Research Interests

Ph.D., Computer Science - Vanderbilt University
- Aug 2019 - Aug 2026
- Advisors: Doug Fisher, Meiyi Ma
- Dissertation: “Human-Analogous Uncertainty Behavior: Cognitive Studies of Large Language Models”
M.S., Computer Science - University of Mississippi
- Aug 2017 - May 2019
- Advisors: Naeemul Hassan, Dawn Wilkins
- Thesis: “Building an Automated QA System Using Online Forums as Knowledge Bases”
B.S., Computer Science - University of Mississippi
- Aug 2013 - May 2017

Peer Reviewed
- Moore, K., Roberts, J., Watson, D., Wisniewski, P. “Investigating Human-Aligned Large Language Model Uncertainty.” FLAIRS 2026.
- Sawyer, H., Roberts, J., Moore, K. “Basic Categories in Vision Language Models: Expert Prompting Doesn’t Grant Expertise.” ACS 2025.
- Moore, K., Roberts, J., Pham, T., Fisher, D. “Chain of Thought Still Thinks Fast: APriCoT Helps with Thinking Slow.” CogSci 47, 2025.
- Moore, K., Roberts, J., Pham, T., Ewaleifoh, O., Fisher, D. “The Base-Rate Effect on LLM Benchmark Performance: Disambiguating Test-Taking Strategies from Benchmark Performance.” EMNLP 2024.
- Roberts, J., Moore, K., Fisher, D., Ewaleifoh, O., Pham, T. “Large Language Model Recall Uncertainty is Modulated by the Fan Effect.” CoNLL 28, 2024.
- Roberts, J., Moore, K., Wilenzick, D., Fisher, D. “Using Artificial Populations to Study Psychological Phenomena in Neural Models.” AAAI 38, 2024.
- Timalsina, U., Broll, B., Moore, K., Lédeczi, Á. “DeepForge for Astronomy: Deep Learning SDSS Redshifts from Images.” Astronomy and Computing 40 (2022).
Workshop Papers
- Roberts, J., Moore, K., Fisher, D. “Do Large Language Models Learn Human-Like Strategic Preferences?” REALM Workshop, ACL 2025.
Preprints / Under Review
- Moore, K., Roberts, J., Watson, D., Ward, W., Heyboer, G. “Human-Alignment, Calibration, and Activation Patterns in Large Language Model Uncertainty.” Preprint, under review, 2026.

Graduate Teaching Assistant - Vanderbilt University
- Aug 2019 - May 2026
Graduate Teaching Assistant - University of Mississippi
- Aug 2017 - May 2019
IT Support Technician - University of Mississippi School of Business
- Sep 2014 - Sep 2017

Instructor of Record
- Introduction to Artificial Intelligence - Vanderbilt University
  - Spring 2025
  - Sole instructor, lecturer, and designer of all course materials for a class of ~75 students
  - De facto IOR, but officially listed under faculty advisor (Doug Fisher) as instructor of record entirely due to administrative technicality. Further details available upon request.
Teaching Assistanceships - Ph.D. (* - guest lectures given)
- Artificial Intelligence (2022F, 2023F, 2024S, 2025F, 2026S*) Computer Ethics (Summer 2023, Summer 2024, Summer 2025)
- Theory of Automata, Formal Languages, and Computation (2021F, 2023S, 2024F)
- Databases (Summer 2022, Summer 2023)
- Computational Creativity (2023S*)
- Software for Autonomous Vehicles (2022S)
- Programming Languages (2019F, 2020S, 2020F. 2021S)
Teaching Assistanceships - M.S.
- Programming Languages
- Analysis of Algorithms

Organizing Committees
- FLAIRS 2026 Special Track: Human-AI Collaboration and Augmented Intelligence (HAICAI)
Peer Review
- ICLR 2026
- EMNLP 2026
- FLAIRS 2026
- AAAI 2026
- ACS 2025
- ACL Rolling Review (ARR), February 2025
- REALM Workshop, ACL 2025

Languages: Python (primary), Java, C/C++, SQL, PHP, Haskell, Lua
Libraries & Tools: NumPy, pandas, Matplotlib, TensorFlow, PyTorch, scikit-learn
(Natural) Languages: English (Native Proficiency), Japanese (Elementary Proficiency)