The Magic of Learning from Your Mistakes: How AI Found the Sweet Spot Between Confidence and Caution
The GPS Recalculating Moment: How AI Learned to Take Bold Steps Without Crashing
Why Teaching 16 Students at Once Is Better Than Teaching One Student 16 Times
This academic project examines how individuals use anonymous social platforms to discuss mental heal
One of my students analyzed thousands of mental health posts. What drives engagement surprised us both. The student applied computational text analysis to examine emotional vulnerability patterns across anonymous discussions. They built sentiment models to understand how people share and respond. The key finding: engagement was driven by interpersonal interaction,
How my students are using AI to solve real problems
Students shouldn't build production systems. A student in my class just proved me wrong. One of my grad students benchmarked five large language models for structured data extraction from ClinicalTrials.gov. This wasn't a toy project. Clinical trial evidence synthesis drives treatment decisions for millions of
The AI That Learned to Learn from Its Mistakes—Seven Times Over
The Student Who Asked the Best Questions: How AI Learned to Learn Smarter
The AI That Learned to Know When Actions Don't Matter
The Overconfident AI: How Self-Doubt Made DeepMind's Game Player Smarter
The AI That Learned to Play Like a Human (By Watching Screens)
