Eric C Moses

Professional Profile

Highly motivated and detail-oriented PhD Candidate in Computer Science at the University of Alabama, specializing in Human-Computer Interaction (HCI) and Human-AI Interaction. Possesses strong research experience in designing, developing, and evaluating digital health interventions, particularly Just-in-Time Adaptive Interventions (JITAIs) leveraging AI and Large Language Models (LLMs) to address health behaviors like obesity. Proficient in Python, R, SQL, qualitative/quantitative research methods, and various development frameworks. Seeking research or applied science roles where expertise in HCI, AI, user experience, and digital health can contribute to innovative solutions.

Education

• Doctor of Philosophy in Computer Science
  The University of Alabama, Tuscaloosa, AL
  Research Area: Human-Computer Interaction (HCI), Human-AI Interaction, Digital Health
  Dissertation: An Exploration of Just-in-Time Adaptive Interventions for Eating Behaviors Using LLM-Based Messages
  Expected Graduation: August 2025
• Master of Science in Computer Science
  Alabama A&M University, Normal, AL
  Thesis: Machine Learning Applications (e.g., Stock Price Prediction via SLR)
  August 2017 – July 2019
• Bachelor of Science in Organizational Management
  Oakwood University, Huntsville, AL
  Subject Area: Project Management
  January 2014 – December 2016

Skills

• Programming Languages: Python, R, SQL, Java
• Frameworks & Environments: Git, RStudio, VS Code, Jupyter Notebook, Google Colab, Streamlit, Linux, Qualtrics
• Research Methods: Qualitative (Interviews, Surveys, Questionnaires), Quantitative (Statistical Analysis), Between-Subjects Design, Within-Subjects Design, Usability Testing, User Experience (UX) Research
• AI/ML: Large Language Models (LLM) Fine-tuning (OpenAI API), Sentiment Analysis, Predictive Modeling Concepts
• Technical Skills: Technical Support (Tier 1 & 2), Microsoft Office Suite
• Certifications: CompTIA A+

Research Experience

• Graduate Research Assistant | UA Human-Technology Interaction Lab, Tuscaloosa, AL
  August 2019 – Present (20 hrs/wk)
  • Conducted NIH-funded research on designing and developing digital health interventions (SMS, AI-driven) for obesity management using human-centered approaches.
  • Led studies investigating the design and efficacy of Just-in-Time Adaptive Interventions (JITAIs), including LLM-generated messages.
  • Utilized mixed methods (Qualtrics for qualitative data; Python/R for quantitative analysis) to assess usability, user experience, message likeability, actionability, compliance, and comprehension.
  • Developed web applications using Python and Streamlit for user studies.
  • Fine-tuned LLMs using the OpenAI API for personalized message generation.
  • Managed and supervised undergraduate lab assistants.
  • Key Projects & Publications:
    • Investigating the Design of Just-in-Time Adaptive Interventions (JITAIs) Messages Targeting Eating Behaviors. (Published 2023, NIH funded, Between-subjects study, N=29)
    • Investigating the Design of Just-in-Time Adaptive Interventions (JITAIS) LLM-Based Messages Targeting Eating Behaviors. (Under review 2025, NIH funded, Within-subjects study, N=90)
    • A Novel Method for Personalizing LLM-Based JITAI Systems Messages. (Under review 2025, NIH funded, Within-subjects study, N=52)
• Graduate Research Assistant | Alabama A&M University, Normal, AL
  August 2017 – July 2019 (20 hrs/wk)
  • Explored the application of machine learning for stock price prediction through a Systematic Literature Review (SLR).

Teaching Experience

• Graduate Teaching Assistant | The University of Alabama, Tuscaloosa, AL
  Course: CS300 Operating Systems (Undergraduate)
  January 2020 – May 2020 (20 hrs/wk)
  • Graded assignments, quizzes, exams, and projects; supervised students.
• Graduate Teaching Assistant | Alabama A&M University, Normal, AL
  August 2017 – July 2019 (20 hrs/wk)
  • Administered and proctored exams; supervised and tutored undergraduate/graduate students in computer science courses.

Relevant Professional Experience

• Government Account & Technical Support Coordinator | Verizon, Huntsville, AL
  June 2012 – March 2017 (40+ hrs/wk)
  • Provided Tier 1 & 2 technical support and account coordination for government clients, focusing on wireless needs.
  • Responsible for user experience based on Net Promoter Score (NPS) and usability metrics.
  • Managed service requests, troubleshooting, billing inquiries, and issue resolution using various internal tools (REMEDY, ITHD, Workflow Manager).
  • Acted as Subject Matter Expert (SME) and de facto team lead.
• Technical Support Coordinator I & II | Verizon, Huntsville, AL
  February 2010 – June 2012 (40+ hrs/wk)
  • Provided Tier 1, 2 & 3 technical troubleshooting for cellular technologies (LTE, CDMA, GSM).

Professional Organizations

• Association for Computing Machinery (ACM)