I am a Professor of Computer Science and Director of the Maryland Center for Machine Learning, with appointments in Applied Math and Electrical and Computer Engineering. My research focuses on responsibly building AI systems and draws on ideas from signal processing and applied mathematics. I work at the boundary between theory and systems, leveraging mathematical foundations and efficient hardware to improve the training, fine-tuning, benchmarking, and robustness of large models for language, computer vision, and science. My work on watermarking language models received an Outstanding Paper Award at ICML 2023.