Fredrik Kjolstad is an Assistant Professor at Stanford University. He works on topics in compilers and programming models. In particular, he is interested in compilers and programming models for sparse computing problems where we separate the algorithms from data representation. His research includes the TACO Sparse Tensor Algebra Compiler and the Simit language for computing on sparse systems. He received his PhD from MIT, his master’s degree from the University of Illinois at Urbana-Champaign, and his bachelor’s degree from the Norwegian University of Science and Technology in Gjøvik. He has won the Rosing Award, the Adobe Fellowship, and two best/distinguished paper awards.