Murali Emani is an Assistant Computer Scientist in the Data Science group with the Argonne Leadership Computing Facility (ALCF) at Argonne National Laboratory. His research interests are in Scalable Machine Learning, Parallel programming models, High Performance Computing, Runtime Systems, Emerging HPC architectures, Online Adaptation. Prior, he was a Postdoctoral Research Staff Member at the Lawrence Livermore National Laboratory, US. He obtained his PhD from the Institute for Computing Systems Architecture at School of Informatics, University of Edinburgh, UK. Murali published in top conferences including PACT, PLDI, CGO, SC and has three granted patents. He served as technical program committee member for conferences including ICPP'19, CCGRID'19, PACT '18, CCGRID '18, ICPP '18. He is the co-founder of MLPerf HPC working group and chaired the first Birds-of-a-Feather session on Machine Learning benchmarking on HPC systems at SC19.