Jeffrey P. Bigham

Jeffrey P. Bigham is a researcher at Carnegie Mellon University's Human-Computer Interaction Institute. He specializes in Artificial Intelligence, Accessibility, and Human-Computer Interaction, with a focus on

• Inclusive AI systems
• Accessible web and mobile development
• Large language model applications
• User interface engineering

His recent publications explore synthetic data generation for UI/Slide understanding, LLM-based code generation, and real-time notetaking systems. Key themes include

• Improving accessibility through AI
• Interactive ML model optimization
• Collaborative human-AI workflows
• Visual and speech interface analysis

Bigham's work spans Computer Science, Machine Learning, and Natural Language Processing, often addressing disability inclusion and user-centered AI. He collaborates extensively with researchers like

• Jason Wu
• Yi-Hao Peng
• Amy Pavel
• Stephanie Valencia
• Henny Admoni

across 300+ publications since 2006.

Notable contributions include automated accessibility tools (like Screen Recognition), stuttering accommodation in speech recognition, and generative AI literacy initiatives. His research bridges technical AI innovation with social impact, particularly for marginalized user groups.