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Jaelle Scheuerman

https://www.linkedin.com/in/jaelle

Education

Ph.D., Computer Science — Tulane University (2015–2020)
Dissertation: Computational Models of Heuristics and Bias in Human Behavior

M.S., Human Computer Interaction — Iowa State University (2012–2014)

B.S., Computer Science — South Dakota School of Mines & Technology (2007–2010)

Research Interests

Artificial Intelligence, Interactive Machine Learning, Human Systems Integration,
Human-Machine Teams, Decision Support, Preferences, Cognitive Modeling,
Cognitive Architectures, Multiagent Systems

Research Experience

Computer Scientist — Center for Geospatial Sciences, Naval Research Lab (2020–Present)

Research Assistant — Center for Geospatial Sciences, Naval Research Lab (2016–2020)

Research Assistant — Department of Computer Science, Tulane University (2015–2020)

Undergraduate Research Assistant — South Dakota School of Mines & Technology (2008–2010)

Publications

Scheuerman, Jaelle, Shannon McGarry, Ciara Sibley, and Noelle Brown. 2025. “Beyond Explicit Instruction Enhancing Human-AI Collaboration with Implicit User Feedback.” Artificial Intelligence and Social Computing 163. https://doi.org/10.54941/ahfe1006049.
Harman, Jason L., and Jaelle Scheuerman. 2024. Multi-Criteria Comparison as a Method of Advancing Knowledge-Guided Machine Learning. arXiv. https://doi.org/10.48550/arXiv.2403.11840.
Bishof, Zachary, Jaelle Scheuerman, and Chris J. Michael. 2023. “Closed-Loop Uncertainty: The Evaluation and Calibration of Uncertainty for Human–Machine Teams Under Data Drift.” Entropy 25 (10): 1443. https://doi.org/10.3390/e25101443.
Scheuerman, Jaelle, Jason L. Harman, Rebecca R. Goldstein, Dina Acklin, and Chris J. Michael. 2023. “Visual Preferences in Map Label Placement.” Discover Psychology 3 (1): 27. https://doi.org/10.1007/s44202-023-00088-0.
Harman, Jason L., and Jaelle Scheuerman. 2023. “Simple Rules Outperform Machine Learning for Personnel Selection: Insights from the 3rd Annual SIOP Machine Learning Competition.” Discover Artificial Intelligence 3 (1): 2. https://doi.org/10.1007/s44163-022-00044-2.
Golob, Edward J., Jeremy T. Nelson, Jaelle Scheuerman, Kristen B. Venable, and Jeffrey R. Mock. 2021. “Auditory Spatial Attention Gradients and Cognitive Control as a Function of Vigilance.” Psychophysiology 58 (10): e13903. https://doi.org/10.1111/psyp.13903.
Scheuerman, Jaelle, Chris J. Michael, Brad Landreneau, Dina M. Acklin, and Jason L. Harman. 2021. “Designing Interactive Machine Learning Systems for GIS Applications.” In Engineering Artificially Intelligent Systems: A Systems Engineering Approach to Realizing Synergistic Capabilities, edited by William F. Lawless, James Llinas, Donald A. Sofge, and Ranjeev Mittu. Springer International Publishing. https://doi.org/10.1007/978-3-030-89385-9_9.
Michael, Chris J., Dina Acklin, and Jaelle Scheuerman. 2020. On Interactive Machine Learning and the Potential of Cognitive Feedback. arXiv. https://doi.org/10.48550/arXiv.2003.10365.

Teaching

Instructor — Tulane University (Fall 2018)
- Intro to Computer Science I

Teaching Assistant — Tulane University (2015–2017)
- Intro to CS I & II, Intro to Algorithms, Software Studio
- Guest lectures in Artificial Intelligence

Co-Instructor — Tulane University (2014, 2015)
- Computational Thinking for Work & Play

Professional Experience

Co-Founder — AI with Intent (2025–present)

Manager of Technology Initiatives — Newcomb College Institute, Tulane University (2010–2015)

Web Developer — Linn Productions (2005–2008)

Web Designer — Site4Sure.com (2003–2005)

Honors & Awards

Service & Community Engagement