Michael Cohen is a graduate student in algorithms, advised by Jonathan Kelner and Alexander Madry. He is particularly interested in the use of techniques from linear algebra, convex optimization, and spectral graph theory in theoretical computer science. | Michael Cohen is a graduate student in algorithms, advised by Jonathan Kelner and Alexander Madry. He is particularly interested in the use of techniques from linear algebra, convex optimization, and spectral graph theory in theoretical computer science. |