Check out my talk here: youtu.be/Mnq_b_YXnDM

My PhD has been some of the most fun I've ever had, and that's almost entirely thanks to my incredible colleagues @mitvis, collaborators @MIT_CSAIL, and committee — @arvindsatya1, @wattenberg, and @mitchellgordon!

I defended! 🎉 For the past six years, I have studied whether AI models see the world the same way as their users. My dissertation, "Reconciling AI Representations and User Mental Models," gives people the agency to define, measure, and adjust human-AI alignment in their domain.

Check out our autointerp paper ✨Semantic Regexes ✨at ICLR on Friday April 24! @MIT_CSAIL and @Apple with @donghaoren, @tafsiri, @domoritz, @arvindsatya1 & @fredhohman 📅 iclr.cc/virtual/2026/poster/… 📄 arxiv.org/abs/2510.06378 🖥️ github.com/apple/ml-semantic… 🔗 machinelearning.apple.com/re…

I’ll be at #CHI2025 🌸 If you are excited about interpretability and human-AI alignment — let’s chat! And come see Abstraction Alignment ⬇️ in the Explainable AI paper session on Monday at 4:20 JST

#CHI2025 paper on human–AI alignment! 🧵 Models can learn the right concepts but still be wrong in how they relate them. ✨Abstraction Alignment✨evaluates whether models learn human-aligned conceptual relationships. It reveals misalignments in LLMs💬 and medical datasets🏥.