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Fredrik Kjolstad is an Assistant Professor in the Department of Computer Science at Stanford University. His research focuses on making it easier to develop applications that utilize portable data representations for machines. His work includes developing programming languages and collections of data types such as tensors, relations, graphs, and objects embedded in space. Notably, he has developed compilers for sparse tensor algebra and array operations which allow the construction of tensor algebra libraries and polymorphic data structures. Kjolstad's projects include the TACO compiler, the Simit programming language, and the Burrito compiler. He has also contributed to high-performance computing systems and designed the Copy-and-Patch compiler technology, enhancing the capabilities of LLVM. Throughout his career, he has mentored numerous PhD students who are pursuing innovative research in his field. Kjolstad's extensive publication record includes papers presented at prestigious conferences such as CGO and ASPLOS, and he is recognized for his contributions to the advancement of compiler optimization and sparse tensor algebra.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.