Ayda Sultan

I am currently working on a series that explores the chronological evolution of AI algorithms and concurrently building a framework for large model evaluation. My research interests focus on model interpretability and evaluation, with a particular goal of understanding how models learn, store, and represent concepts. Ultimately, I seek to explore ways to inject and modify concepts within neural networks, advancing our ability to refine and control their learning processes.

I was previously a research assistant at KAUST where I worked on concept based interpretability research. Before that, I spent sometime at the University of Michigan working on hand and held-object segmentation. I graduated from Addis Ababa University with a Bachelor’s degree in Software Engineering.