Dan Fu

Dan Fu is VP of Kernels at Together AI and an incoming Assistant Professor of Computer Science and Engineering at UCSD. His research develops efficient algorithms for machine learning, with a focus on solutions that are both theoretically efficient and practically fast on modern hardware. His work has been recognized with multiple awards at major ML conferences, including Best Student Paper Runner-Up (UAI) and multiple oral and spotlight presentations (NeurIPS, ICML, ICLR), as well as multiple graduate fellowships (Department of Defense NDSEG, Brown Institute). His research has also been deployed in production at major technology companies (FlashAttention). Dan conducted his PhD training at Stanford and his undergraduate and master’s studies at Harvard, all in computer science.