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Homepage of Christopher Re (Chris Re)

cs.stanford.edu · 8,423 words · saved by 1 readers

NEWS! STUDENTS PAPERS TEACHING AND AWARDS Christopher Ré Email: chrismre at cs.stanford.edu Our Lab's Github | Blog | Twitter Department of Computer Science Stanford University 353 Jane Stanford Way Stanford, CA 94305-9025 I'm an associate professor in the Stanford AI Lab (SAIL), the center for research on foundation models (CRFM), and the Machine Learning Group (bio). Our lab works on the foundations of the next generation of AI systems. On the AI side, I am fascinated by how we can learn from increasingly weak forms of supervision, the basis of new architectures, the role of data, and by the mathematical foundations of such techniques. On the systems side, I am broadly interested in how machine learning is changing how we build software and hardware. I'm particularly excited when we can blend AI and systems, e.g,. Snorkel, Overton (YouTube), SambaNova, or Together. Our work is inspired by the observation that data is central to these systems, and so data management principles (re-

Homepage of Christopher Re (Chris Re) News! Students Papers Teaching and Awards Christopher Ré Email: chrismre at cs.stanford.edu Our Lab's Github | Blog | Twitter Department of Computer Science Stanford University 353 Jane Stanford Way Stanford, CA 94305-9025 I'm a professor in the Stanford AI Lab ( SAIL ), the center for research on foundation models ( CRFM ), and the Machine Learning Group ( bio ). Our lab works on the foundations of the next generation of AI systems. While we're very proud of our research ideas and their impact, the lab's real goal is to help students become professors, en

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