work Deep learning efficiency research Post-training optimization, calibration, and reprameterization LLM personalization and long-context learning Efficient fine-tuning and long-context understanding Novel accelerator-model co-exploration Exploration of traditional and emerging compute systems for scalable AI workloads fun
