Over the years, I have been explaining my research to slightly different audiences: students, linguists, mental health experts, Utah faculty learning about AI, etc. Each conversation has been slightly different, but has taught me more about AI.

This blog is an attempt to continue those conversations and working through ideas publicly. What kinds of ideas? That the most interesting AI challenges are not just about scale. That techno-solutionism without context from domain experts may be problematic. You can find more about my research interests here. My current research focuses on neuro-symbolic methods, low-data domains and resources, and systematic benchmarking.

What I’ll write about: Research ideas. Lecture notes on topics like neuro-symbolic methods. Thinking about benchmarking beyond metrics. Thinking about linguistic phenomena. Making AI do interesting things with limited data or compute resources. Commentary about AI and society.

But I will likely also write about topics that are not just AI-related. I generally like nerdy things, sometimes do recreational math for relaxation, enjoy reading and writing good code, and am almost always reading a book or two if I can find the time.