CV

Education

• Ph.D. in Computer Science, College of William & Mary, Williamsburg, VA
  Expected: 2026
  Advisor: Dr. Denys Poshyvanyk
  Research Focus: Deep Learning for Software Engineering, Interpretable AI, Large Language Models

• B.S. in Computer Science (Minor in Mathematics), Troy University, Troy, AL
  2020

Research Interests

• Interpretable AI for Code Generation
• Trustworthy Machine Learning in Software Engineering
• Large Language Models for Software Engineering
• Causal Inference in Software Engineering
• Syntax-Aware Code Analysis and Generation

Work Experience

• Graduate Research Assistant, College of William & Mary, Williamsburg, VA
  2021 - Present
  • Conducting research on interpretable and trustworthy Large Language Models for software engineering tasks
  • Developing novel methods for syntax-grounded explanations of code generation models
  • Working on causal inference frameworks for evaluating LLM performance in software engineering contexts
• Teaching Assistant, College of William & Mary, Williamsburg, VA
  2021 - 2023
  • CSCI 423, Finite Automata (Fall 2021)
  • CSCI 304, Computer Organization (Spring 2022)
  • CSCI 312, Principles of Programming Languages (Fall 2022)
• Software Developer, T-Mobile, Bellevue, WA
  2020 - 2021
  • Developed and maintained software systems for telecommunications infrastructure

Technical Skills

• Programming Languages: Python, Java, C/C++, JavaScript, SQL
• Machine Learning: PyTorch, TensorFlow, Transformers, Hugging Face
• Software Engineering: Git, Docker, CI/CD, Agile methodologies
• Research Tools: Jupyter Notebooks, LaTeX, Statistical Analysis
• Areas of Expertise: Deep Learning, Natural Language Processing, Software Engineering, Code Analysis

Publications

See my Publications page for a complete list.

Teaching

See my Teaching page for details on courses taught.

For a PDF version of my CV, please contact me directly.