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Christopher Knight is an assistant computational scientist in the Argonne Leadership and Computing Facility since 2013 after his post-doctorate in Argonne. He received his doctorate in Chemistry from Ohio State University in 2009. He works closely with researchers to help them accomplish their scientific goals on both new and mature projects using leadership computational resources. To address the unique challenges of efficiently using leadership-scale resources at ACLF, he assists researchers with porting, profiling, and debugging their codes, discuss strategies and provide general guidance on code parallelization, I/O, load- balancing, workflow design, and data management. His research interests include development and use of scalable algorithms for molecular simulations based on classical and first principles methods.