CV
EDUCATION
PhD in Computer Science & Cognitive Science
University of Colorado Boulder, 2018 - 08/2023
B.A. in Computer Science, minor in Neuroscience
cum laude, high honors in computer science
College of the Holy Cross, 2014 - 2018
Honors thesis: "A Computational Model of Human Heading & Object Detection
Using Real-World Scenes"
Advisor: Constance Royden
RESEARCH POSITIONS
Graduate Research Assistant
University of Colorado Boulder, 2018 - present
General focus on predicting social, cognitive, and affective states from neurophysiological sensor
data (neuroimaging, galvanic skin response, and eye-tracking) using machine learning, statistics, and nonlinear techniques for use in adaptive AI systems
Specializing in applying multidimensional recurrence quantification methods to multimodal
datasets for nonlinear analysis, and constructing linear mixed-effects models for insight and prediction
Research Assistant
College of the Holy Cross, 2016 - 2018
Vision Lab
Worked on a physiologically-based computational model of human visual heading detection
Undergraduate Researcher
Center for the Neural Basis of Cognition (Carnegie Mellon University), summer 2017
Undergraduate Program in Neural Computation, advised by Robert Kass
Worked with magnetoencephalography (MEG) data to improve single-trial statistical modeling
PUBLICATIONS
2023
Eloy L., Doherty E.J., Spencer C.A., Hirshfield L. (2023, forthcoming) Capturing the Dynamics of Trust and Team Processes in Human-Human-Agent Teams via Multidimensional Neural Recurrence Analyses. Proceedings of the ACM on Human-Computer Interaction, CSCW.
Doherty, E. J., Spencer, C. A., Burnison, J., Čeko, M., Chin, J., Eloy, L., Haring, K., Kim, P., Pittman, D., Powers, S., Pugh, S. L., Roumis, D., Stephens, J. A., Yeh, T., & Hirshfield, L. (2023). Interdisciplinary views of fNIRS: Current advancements, equity challenges, and an agenda for future needs of a diverse fNIRS research community. Frontiers in Integrative Neuroscience, 17.
2022
Eloy L., Doherty E.J., Spencer C.A., Bobko P., Hirshfield L. (2022) Using fNIRS to Identify Transparency- and Reliability-Sensitive Markers of Trust Across Multiple Timescales in Collaborative Human-Human-Agent Triads. Frontiers in Neuroergonomics. 3:838625.
Bobko, P., Hirshfield, L., Eloy, L., Spencer, C., Doherty, E., Driscoll, J., & Obolsky, H. (2022) Human-agent teaming and trust calibration: a theoretical framework, configurable testbed, empirical illustration, and implications for the development of adaptive systems. Theoretical Issues in Ergonomics Science, 1-25.
2020
Grant T., Durkee K., Eloy L., Dhruv K., Hayne L., Hirshfield L. (2020) A Neurophysiological Sensor Suite for Real-Time Prediction of Pilot Workload in Operational Settings. International Conference on Human-Computer Interaction.
2019
Eloy L., Stewart A.E.B., Amon M.J., Reindhardt C., Michaels A., Duran N., Shute V. and D’Mello S.K. (2019) Modeling Team-level Multimodal Dynamics during Multiparty Collaboration. Proceedings of the 21st ACM International Conference on Multimodal Interaction.
SKILLS
Programming: advanced data manipulation, visualization, and modeling in R; scripting and
machine learning in Python (sklearn, pandas); data exploration and retrieval with SQL
Technical: recurrence quantification analysis, generalized linear modeling, mixed-effects linear
modeling; analysis of galvanic skin response, eye tracking, and neuroimaging sensor data
Research methods: experimental design, data collection, and statistical testing of multimodal datasets
HONORS AND AWARDS
Best Student Paper Award
21st ACM International Conference on Multimodal Interaction, 2019
Computer Science Departmental Fellowship
University of Colorado Boulder, 2018 & 2019
Rev. John J. MacDonnell, S.J., Computer Science Award
College of the Holy Cross, 2018
High Honors in Computer Science
College of the Holy Cross, 2018
PRESENTATIONS
2019
Multiparty Regularity in Collaborative Problem Solving
Poster: Computing Research Association Underrepresented Minorities & Persons with Disabilities Grad Cohort, Mar 2019
2018
A Computational Model of Human Heading & Object Detection Using Real-World Scenes
Presentation: Honors Thesis Talk, College of the Holy Cross, May 2018
2017
Characterizing Trial-to-Trial Variability in MEG Data
Poster: Weiss Undergraduate Summer Research Symposium, College of the Holy Cross, Sep 2017
Poster: Summer Undergraduate Research Poster Session, Center for the Neural Basis of Cognition, Aug 2017