Eric C. Moses, Ph.D.

Research Scientist | Human-AI Interaction | Digital Health

Dericmphd@ericmoses.dev cv.ericmoses.dev

Research Scientist Profile

PhD Research Scientist specializing in Human-AI Interaction, Digital Health, and Affective Computing, with extensive experience designing, deploying, and evaluating LLM-based Just-in-Time Adaptive Interventions (JITAIs). Conducted NIH-funded research involving human-subjects experimentation, mixed-methods evaluation, and AI-driven personalization. Strong background in translating HCI theory into deployable research systems using Python, R, SQL, and Streamlit. Experienced in interdisciplinary collaboration, research supervision, and applied AI evaluation.

Human-AI Interaction LLM Evaluation Digital Health JITAIs Mixed Methods UX Research Applied AI Research

Education

Doctor of Philosophy (Ph.D.) in Computer Science

2019 — 2025

The University of Alabama, Tuscaloosa, AL

Research Areas: Human-Computer Interaction, Human-AI Interaction, Digital Health, Affective Computing

Dissertation: An Exploration of Just-in-Time Adaptive Interventions for Eating Behaviors Using LLM-Based Messages (Defended April 2025)

Master of Science (M.S.) in Computer Science

2017 — 2019

Alabama A&M University, Normal, AL

Thesis: Machine Learning Applications (Systematic Literature Review; Stock Price Prediction)

Publications & Research Output

Peer-Reviewed Publication

"Investigating the Design of Just-in-Time Adaptive Intervention Messages Targeting Eating Behaviors." NIH-funded, Between-Subjects Study (N=29), 2023.

Manuscripts Under Review (NIH-Funded)

  • "A Novel Method for Personalizing LLM-Based JITAI System Messages." Within-Subjects Study (N=52), 2025.
  • "Investigating the Design of LLM-Based JITAI Messages Targeting Eating Behaviors." Within-Subjects Study (N=90), 2025.

Dissertation

"An Exploration of Just-in-Time Adaptive Interventions for Eating Behaviors Using LLM-Based Messages." ProQuest, 2025.

Research Experience

Graduate Research Assistant

Aug 2019 — May 2025

Human-Technology Interaction Lab | The University of Alabama

  • Conducted NIH-funded research on AI-driven digital health interventions targeting eating behaviors using human-centered design principles.
  • Led the design, development, and evaluation of LLM-based JITAI systems, including message generation, personalization, and delivery strategies.
  • Designed and executed human-subjects studies using within- and between-subjects experimental designs.
  • Applied mixed methods (Qualtrics interviews and surveys; Python/R statistical analysis) to evaluate usability, comprehension, actionability, and behavioral impact.
  • Developed research deployment platforms using Python and Streamlit to support experimental studies.
  • Fine-tuned and evaluated LLMs via the OpenAI API for personalized intervention messaging.
  • Supervised and mentored undergraduate research assistants.

Teaching Experience

Adjunct Professor of Computer Science

2025 — Present

Alabama A&M University

  • Courses include Artificial Intelligence and Programming (C++).
  • Focus on applied AI concepts and computational problem-solving.

Technical Skills

  • Programming & Data: Python, R, SQL, C++
  • AI & ML: LLM Fine-Tuning, Sentiment Analysis, Predictive Modeling, Human-in-the-Loop Systems
  • Tools: Streamlit, Git, Jupyter, RStudio, Qualtrics, Linux, Google Colab

Research Methods

  • Mixed Methods Research
  • Human-Subjects Experimental Design
  • UX Research & Usability Testing
  • Statistical Analysis (Python/R)
  • Qualitative Interviewing & Surveys

Professional Experience

Computer Science Expert / AI Trainer (Contract)

2025 — Present

Handshake | Remote

Curate and evaluate data used in training and assessing AI models; analyze human-authored vs AI-generated responses.

General Clerk III (Health & Wellness Analytics)

2023 — Present

City of Huntsville | Huntsville, AL

Conduct utilization analysis of employee health services; coordinate data-driven reporting with healthcare vendors.

Government Account & Technical Support

2012 — 2017

Verizon | Huntsville, AL

Tier 1 & 2 support for government clients; subject-matter expert for usability and service reliability.