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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

SHINE Lab

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 systemsTheoretical 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 CollaborationProceedings 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

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