About Me

Hello! My name is Hal Forbis, and I am a senior undergraduate studying Mathematics and Computer Science. My interests include scientific computing, data science, software methodology, and applied mathematics. During my undergraduate studies, I have led and contributed to several research projects.

I am preparing for graduate study and research with a focus on interdisciplinary work within mathematics and computer science. I am also actively seeking internships and opportunities that provide hands-on technical experience. I enjoy building systems that are both theoretically grounded and practical, and I approach problems methodically, starting with understanding the underlying theory and moving on to implementing and testing solutions.

Past Experience

  • Academic Background
    SLCC, ULL • 2018 – Present (Est. Graduation date: May 2027)
    University of Louisiana at Lafayette Bachelor’s in Computer Science (Expected Graduation: May 2027)
    • Current GPA: 3.93/4.00
    • Dual interest in Computer Science, Mathematics, and Statistics with a focus on computational and data-driven methods.
    • Coursework includes systems programming, front-end and back-end development, algorithms, linear algebra, calculus, statistics & probability, and machine learning.
    • Involved in research with Dr. Kooyers’ genetics lab, applying computational approaches to biological data analysis.
    South Louisiana Community College Associate of General Studies, Biology focus (2018 – 2021)
    • GPA: 3.93/4.00, Dean’s List every semester.
    • Developed strong foundation in biology, including microbiology techniques and lab procedures.
  • REU Machine Learning Intern
    TML-EC Lab, ULL • June 2025 – August 2025
    • Selected for a competitive NSF-funded REU program.
    Developed preprocessing pipelines and LLM-assisted tools for extracting biological species data from research papers.
    • Designed automated text-cleaning and normalization steps to improve consistency across datasets.
    • Implemented entity recognition workflows to identify and tag species names efficiently.
    • Evaluated pipeline accuracy against curated biological datasets, improving extraction reliability.
    Contributed to "Respirapption," an Android app that monitors respiratory health.
    • Gained experience in Kotlin + Jetpack Compose, MVVM (ViewModel/state), coroutines/Flow for real-time data, camera/vision APIs, permissions, testing/debugging in Android Studio, and wearable/sensor integration.
    • Built real-time GUI features for breathing, blood pressure, and SpO2 tracking.
    • Created custom widgets and integrated computer vision for detecting breathing irregularities.
    • Helped prepare the project for a business competition where it placed in the Top 10.
    • Collaborated with graduate students, faculty, and peers in computer science and biology.

Resume

View my latest resume as a PDF, or get in touch for a tailored version.

Links

Relevant profiles and affiliations.