1- Specialized in principled algorithm design for reliable AI.
2- Developed theoretical frameworks for measuring generalization gaps and memorization, and built practical methods for privacy-preserving training and memorization auditing.
3- Current Focus: Principled Design for Inference & Safety: principled approaches to inference-time methods and safety controls in LLMs.