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Dan Fu

CS PhD Candidate at Stanford.
Systems for machine learning.

About Me

I'm a fourth-year Computer Science PhD candidate at Stanford, where I'm co-advised by Chris Ré and Kayvon Fatahalian, affiliated with the Stanford AI Lab, the Stanford Machine Learning Group, DAWN, and the Stanford Computer Graphics Lab. In my research, I'm interested in building systems for machine learning, computer vision, and graphics. Recently I've been interested in building the next generation of systems for training ML models, and understanding how popular techniques like contrastive learning work. I'm very fortunate to be supported by a Department of Defense NDSEG fellowship and a Magic Grant from the Brown Institute.

Since fall 2020, I've been co-organizing the Stanford MLSys Seminar Series - talks every Thursday, livestreamed on YouTube! Check out our website, and subscribe to our channel!

In 2018, I graduated from Harvard with an AB and an SM in Computer Science, cum laude with highest thesis honors. When I'm not working on school work or other projects, I spend most of my free time ballroom dancing.

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