Tze Meng Low is an Assistant Research Professor with the Department of Electrical and Computer Engineering at Carnegie Mellon University. He graduated from the University of Texas at Austin with a M.S.(C.S) in 2005, and a Ph.D. in Computer Science in 2013. His research focuses on the systematic derivation and implementation of high performance algorithms through the use of formal methods and analytical models. His current interest is the extension and application of models and insights from high performance dense linear algebra to other domains such as bioinformatics, FFTs, machine learning and graph algorithms. In addition, he is also interested in using the same analytical models to design high performance Field Programmable Gate-Array (FPGA)-based accelerators.