Sridutt Bhalachandra is a Ph.D. student in the Computer Science department at UNC-Chapel Hill and a Research Assistant at Renaissance Computing Institute (RENCI). His research area is High Performance Computing with a focus on energy efficiency; also he has spent some time looking at performance variability and reproducibility. His advisors are Dr. Allan Porterfield and Prof. Jan Prins. He is particularly interested in designing adaptive runtime energy optimization methods that do not degrade performance. He has interned at Sandia National Laboratories and Lawrence Livermore National Laboratory, and collaborated with the EEHPC Working Group. In future work, he is interested in leveraging his understanding of runtime systems and processor architectures to develop portable solutions that improve the efficiency of HPC systems. Previously, he has worked as a Systems Engineer at Infosys Labs. Sridutt has a Masters in Computer Science from UNC and Bachelors in Computer Science Engineering from SDMCET, Dharwad (VTU).