Bio

Originally from Khartoum, Sudan, I am a computer scientist working across virtual reality and applied machine learning. My doctoral research at the University of Utah studied perception and interaction in VR: gaze guidance, attention management, and event segmentation in immersive environments, along with the systems built to run those experiments.

I now build AI systems and the tooling to evaluate them: retrieval-augmented generation that cites its sources, natural-language interfaces to databases, and statistical methods for deciding whether a change to a model is a real improvement. The common thread is measurement — designing something, then testing whether it does what it claims.

Focus Areas

My work spans human perception in immersive environments and the engineering and evaluation of AI systems. I design, build, and test systems that have to hold up under measurement rather than demonstration. I am particularly focused on the following areas:

• Retrieval-Augmented Generation and LLM Application Engineering
• Evaluation and Measurement of AI Systems
• Machine Learning, Predictive Models, and Deep Learning
• Virtual Reality Perception & Cognition
• Gaze Guidance and Attention Management in VR
• VR User Experience and Interaction Design
• Educational Applications of Virtual Reality

Education

My training spans electrical engineering fundamentals and computer science research, from designing VR experiences that study human behavior to building lab modules that help students understand scientific concepts.