Rohan Yadav
Stanford University

Rohan is interested in building parallel programming languages and systems to accelerate the development of software for distributed and accelerated computing platforms. His recent focus has been on systems for the efficient execution of dense and sparse tensor computations on distributed machines.


Rohan Yadav is a third-year computer science Ph.D. student at Stanford University, advised by Alex Aiken and Fredrik Kjolstad. He is generally interested in programming languages and computer systems, with a focus in systems for parallel and distributed computing.

Pittsburgh, Pennsylvania, USA