cv

My resume/curriculum vitae (CV).

Basics

Name Adebayo Braimah
Label PhD Student in Computer Science
Email adebayo.braimah@stonybrook.edu
Phone +1 (620) 391-6062
Url https://www.stonybrook.edu/
Summary PhD student specializing in explainable artificial intelligence (XAI), explainable reinforcement learning (XRL), and the explainability of large language models (LLMs).

Work

  • 2024.06 - 2024.08
    Graduate Research Intern
    Griffiss Institute, AFRL Information Directorate
    Conducted research on explainability of machine learning models using loss landscape analysis under the supervision of Prof. Yifan Sun and Dr. Walter Bennette.
    • Collaborated on cutting-edge explainable AI projects at AFRL.
  • 2023.01 - 2023.05
    Graduate Research Assistant
    Stony Brook University
    Focused on profiling eigenspectrum decomposition methods for large matrices under Prof. Yifan Sun.
    • Applied advanced eigenspectrum decomposition techniques to analyze neural networks.
  • 2018.06 - 2022.07
    Research Software Engineer
    Cincinnati Children’s Hospital Medical Center
    Analyzed functional and structural connectivity in pediatric neuroimaging projects.
    • Developed imaging solutions for neonatal hypoxic ischemic encephalopathy and ADHD studies.

Education

  • 2022.08 - Present
    PhD
    Stony Brook University
    Computer Science
  • 2017.08 - 2018.05
    MS
    University of Southern California
    Neuroimaging & Informatics
  • 2012.06 - 2017.07
    BS
    University of Kansas
    Chemistry and Mathematics

Awards

  • 2024.08.01
    NDSEG Fellowship
    Department of Defense
    Covers tuition, stipend, and fees for doctoral studies.
  • 2022.08.01
    Turner Fellowship
    Stony Brook University
    Support for underrepresented doctoral students.

Skills

Programming
Python
MATLAB
Bash
R
LATEX
Research Methods
Explainable AI
Reinforcement Learning
Large Language Models