Professional Profile
Highly motivated and detail-oriented in Computer Science specializing in Human-Computer Interaction (HCI),
Human-AI
Interaction, and Affective Computing. 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, mixed method approach, and
various
development frameworks. Seeking teaching, research or applied science roles where
HCI,
AI, user experience, and digital health expertise can contribute to innovative solutions.
Education
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Doctor of Philosophy in Computer Science
The University of Alabama, Tuscaloosa, AL
Research Area: Human-Computer Interaction (HCI), Human-AI Interaction, Digital Health,
Affective Computing
Dissertation: An Exploration of Just-in-Time Adaptive Interventions for Eating Behaviors Using
LLM-Based Messages Defended: 04/21/2025
August 2019 - 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
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Bachelor of Science in Organizational Management
Oakwood University, Huntsville, AL
Subject Area: Project Management
January 2014 - December 2016
Skills
- Programming Languages: Python, R, SQL, C++, 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+