Summary
Murali Emani is a computer scientist with a PhD from the University of Edinburgh and over a decade of experience driving research and engineering at the intersection of high-performance computing and scalable machine learning. Based at Argonne National Laboratory, he builds performance models, co-designs AI hardware, and leads benchmarking efforts for ML at supercomputer scale as a co-founder and co-chair of the MLPerf HPC group. His work spans practical system-building—prototypes, patents, and optimizations—for scientific ML workloads, and he co-leads the ALCF AI Testbed to evaluate next-generation AI accelerators. Earlier roles at Lawrence Livermore and Edinburgh produced novel contributions in MPI fault tolerance, data placement, and online learning for heterogeneous systems, reflecting a rare blend of theoretical rigor and hands-on systems engineering. Colleagues rely on him to embrace risky, high-impact problems and translate research into deployable solutions that scale to exascale-class infrastructures.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (PhD), Informatics, Doctor of Philosophy (PhD), Informatics at The University of Edinburgh
International Institute of Information Technology Bangalore