Professor of Applied Mathematics, Computer Science and AI Laboratories
Massachusetts Institute of Technology, USA
Professor Edelman has been working in the area of high performance computing systems, networks, software, and algorithms for 30 years. He also works on the theory and applications of Random Matrix Theory. He introduced the graduate course at MIT in high performance computing in 1994 and has trained a generation of students (from computer science, engineering, and the natural sciences) who have now gone on to work at national labs, universities, and industry. He has won many prizes for his work including the prestigious Gordan Bell Prize, a Householder Prize, and a Babbage Prize. He is widely recognized for his broad expertise in hardware, software, networks, algorithms, and applications. With Julia he sees a new fresh approach to high performance technical computing.