Research Scientist, NLP & AI
20+ years of building AI systems that understand language as humans do — from semantic foundations to modern neural architectures that reason, plan, and interact
I'm a Research Scientist in Natural Language Processing with 20+ years at the intersection of AI and human communication.
I've worked at the University of Minnesota, University of Utah, the Mayo Clinic, IBM Research, and Apple—contributing 35+ publications and several patents with over 8,500 citations. The highlight? Being part of IBM Watson's core team when it defeated human grand champions on Jeopardy! in 2011 -- proving that AI could understand and compete at unprecedented levels.
When I'm not working on AI, I'm on the basketball court, building things as an aspiring maker, or flying single-engine aircraft over the American West.
Let's connect 👇 if you want to discuss AI, basketball, making, or aviation.
Exploring the frontiers of artificial intelligence and natural language understanding
Developing advanced architectures for large language models with improved efficiency, interpretability, and alignment capabilities.
Creating next-generation dialogue systems that understand context, maintain coherence, and engage in meaningful interactions.
Advanced methods for extracting structured knowledge from unstructured text across multiple domains and languages.
Advancing cross-lingual understanding and developing models that work effectively across diverse languages and cultures.
Optimizing AI systems for real-world deployment with focus on computational efficiency and sustainable practices.
Building autonomous AI systems that can reason, plan, and take purposeful actions in complex environments while maintaining human oversight and control.