Edgar Solomonik

Edgar Solomonik is an Associate Professor at the University of Illinois at Urbana-Champaign, affiliated with the Siebel School of Computing and Data Science. His research focuses on high performance computing, parallel algorithms, and tensor computations. He earned a PhD from UC Berkeley (2014) and a BS from UIUC (2010). Notable contributions include the Cyclops Tensor Framework and work on communication-avoiding algorithms. Awards include the NSF CAREER Award (2020) and the Jack Dongarra Early Career Award (2024). He teaches courses on parallel numerical algorithms, tensor computations, and numerical analysis. Current research explores quantum computing, graph algorithms, and efficient tensor operations for scientific computing.

• Education: PhD, UC Berkeley (2014); BS, University of Illinois (2010)

Research interests span numerical linear algebra, parallel programming systems, and quantum algorithms. Key projects include optimizing tensor contractions for quantum chemistry simulations and developing scalable algorithms for distributed-memory systems. His work has been published in top venues like SISC, SIAM Review, and SC conferences.