Adebayo B. Braimah

I am a Ph.D. student in computer science at Stony Brook University, advised by Jian Li. My research focuses on autonomous and cooperative multi-agent systems and multi-agent reinforcement learning (MARL).

In summer 2025, I was a graduate research intern at the Air Force Research Laboratory (AFRL), Information Directorate, through the NDSEG fellowship program. I worked with Garrett Katz and Simon Khan on explainable multi-agent reinforcement learning for cooperative unmanned aerial vehicle tasks. In summer 2024, I interned through the Griffiss Institute’s Summer Faculty Fellowship Program at AFRL, working with Yifan Sun and Walter Bennette on explaining machine learning models through loss landscape analysis.

Before joining Stony Brook in August 2022, I worked as a research software engineer at Cincinnati Children’s Hospital Medical Center from 2018 to 2022. My work involved pediatric, neonatal, and pre-clinical neuroimaging and data analysis. I earned an M.S. in Neuroimaging and Informatics from the University of Southern California in 2018 and a B.S. in Chemistry and Mathematics from the University of Kansas in 2017.

I received the National Defense Science and Engineering Graduate (NDSEG) Fellowship in 2024, the SUNY Graduate Research Empowering and Accelerating Talent (GREAT) Award in March 2025, and the Dr. W. Burghardt Turner Fellowship in 2022. Both fellowships run through May 2027.

During my first two years at Stony Brook, I served as a teaching assistant for IAE 101 (Digital Intelligence Arts & Engineering), CSE 215 (Foundations of Computer Science), and CSE/AMS 547 (Discrete Mathematics). I have also mentored students through the Community of Student Mentors at the Center for Inclusive Education and the Educational Opportunity Program.

See my publications and CV for more about my work.

Outside of academia, I participate in USA Weightlifting-sponsored events and follow the sport. I also enjoy cooking large quantities of food and hiking.